This document discusses optimizing images and video for fast delivery on mobile websites. It provides four simple optimizations: adjusting image quality, format, sizing, and lazy loading. SVG, WebP and responsive images are recommended over other formats. Videos should be resized, have audio removed if unneeded, and only download what will be displayed. Background videos especially should be optimized for mobile screens. Network conditions and customer needs like data savings should also be considered. Tools like ImageMagick, Cloudinary and WebPageTest can help with optimizations.
This document discusses optimizing images for faster page loads. It recommends four simple optimizations: reducing image quality to 85%, using smaller file formats like WebP and SVG, sizing images appropriately through responsive images, and lazy loading images not initially visible. Implementing these optimizations can significantly reduce page weight and load times. The document provides examples and tools for each technique and data on their real-world impacts on mobile sites.
This document summarizes Doug Sillars' presentation on optimizing mobile and web performance. It discusses using tools like Video Optimizer and WebPageTest to test performance. It then provides best practices for optimizing content delivery through techniques like image optimization, text compression, responsive images, lazy loading, and video streaming. Specific techniques covered include using Scalable Vector Graphics (SVG), WebP format, appropriate image sizes and quality levels, and optimizing video formats and manifest files.
This document summarizes Doug Sillars' presentation on optimizing mobile and web performance. The presentation covered testing performance with tools like Video Optimizer and WebPageTest, optimizing content delivery through techniques like HTTP/2, image optimization, lazy loading images, and video delivery best practices. Sillars stressed the importance of performance, noting that slow load times can cause high abandonment rates and lost revenue.
Delivering Fast and Beautiful Images outlines 4 simple optimizations for image performance: 1) reducing image quality, 2) using optimized formats like WebP and JPEG, 3) sizing images appropriately, and 4) lazy loading images. The document provides data on current image usage and the significant performance benefits realized by implementing these optimizations, such as reducing page load times by up to 15 seconds. Proper image optimization is key to delivering both fast and visually appealing content.
Doug Sillars discusses optimizing image performance on websites. He outlines 4 simple optimizations: 1) reducing image quality, 2) using optimized formats like WebP and SVG, 3) sizing images appropriately, and 4) lazy loading images below the fold. Properly implementing these techniques can significantly improve page load times and reduce data usage. Sillars also provides tips on monitoring image usage in the wild and considerations for different network conditions and user expectations.
Doug Sillars presented optimizations for delivering fast and beautiful images on mobile websites. He discussed 4 key optimizations: 1) reducing image quality to 85%, 2) using efficient formats like WebP and SVG, 3) sizing images responsively based on screen size, and 4) lazy loading images not visible on the screen. Sillars showed that these techniques can significantly reduce image file sizes and page load times without compromising visual quality for the user. He also provided recommendations for additional optimizations like avoiding animated GIFs and base64 encoding of images.
Doug Sillars presented on optimizing mobile performance. He discussed common tools for testing performance like Video Optimizer and WebPageTest. Best practices for optimization included using HTTP/2, image formats like WebP and SVG, responsive images, lazy loading, and video format/quality adjustments. Factors that can impact video startup like manifest files, available bitrates, and 3rd party interference were also covered. The goal was to learn how to test mobile sites and apps, identify issues, and apply optimizations to deliver fast, high quality experiences to users.
Doug Sillars presented four simple image optimizations that can deliver fast and beautiful images: 1) reducing image quality, 2) using optimized file formats like WebP and SVG, 3) sizing images appropriately, and 4) lazy loading images. He showed that implementing these optimizations can significantly reduce data usage and page load times, as evidenced by analyses of millions of mobile sites. Sillars also offered tips on additional optimizations like avoiding animated GIFs and unnecessary base64 encoding.
This document discusses optimizing images for faster page loads. It recommends four simple optimizations: reducing image quality to 85%, using smaller file formats like WebP and SVG, sizing images appropriately through responsive images, and lazy loading images not initially visible. Implementing these optimizations can significantly reduce page weight and load times. The document provides examples and tools for each technique and data on their real-world impacts on mobile sites.
This document summarizes Doug Sillars' presentation on optimizing mobile and web performance. It discusses using tools like Video Optimizer and WebPageTest to test performance. It then provides best practices for optimizing content delivery through techniques like image optimization, text compression, responsive images, lazy loading, and video streaming. Specific techniques covered include using Scalable Vector Graphics (SVG), WebP format, appropriate image sizes and quality levels, and optimizing video formats and manifest files.
This document summarizes Doug Sillars' presentation on optimizing mobile and web performance. The presentation covered testing performance with tools like Video Optimizer and WebPageTest, optimizing content delivery through techniques like HTTP/2, image optimization, lazy loading images, and video delivery best practices. Sillars stressed the importance of performance, noting that slow load times can cause high abandonment rates and lost revenue.
Delivering Fast and Beautiful Images outlines 4 simple optimizations for image performance: 1) reducing image quality, 2) using optimized formats like WebP and JPEG, 3) sizing images appropriately, and 4) lazy loading images. The document provides data on current image usage and the significant performance benefits realized by implementing these optimizations, such as reducing page load times by up to 15 seconds. Proper image optimization is key to delivering both fast and visually appealing content.
Doug Sillars discusses optimizing image performance on websites. He outlines 4 simple optimizations: 1) reducing image quality, 2) using optimized formats like WebP and SVG, 3) sizing images appropriately, and 4) lazy loading images below the fold. Properly implementing these techniques can significantly improve page load times and reduce data usage. Sillars also provides tips on monitoring image usage in the wild and considerations for different network conditions and user expectations.
Doug Sillars presented optimizations for delivering fast and beautiful images on mobile websites. He discussed 4 key optimizations: 1) reducing image quality to 85%, 2) using efficient formats like WebP and SVG, 3) sizing images responsively based on screen size, and 4) lazy loading images not visible on the screen. Sillars showed that these techniques can significantly reduce image file sizes and page load times without compromising visual quality for the user. He also provided recommendations for additional optimizations like avoiding animated GIFs and base64 encoding of images.
Doug Sillars presented on optimizing mobile performance. He discussed common tools for testing performance like Video Optimizer and WebPageTest. Best practices for optimization included using HTTP/2, image formats like WebP and SVG, responsive images, lazy loading, and video format/quality adjustments. Factors that can impact video startup like manifest files, available bitrates, and 3rd party interference were also covered. The goal was to learn how to test mobile sites and apps, identify issues, and apply optimizations to deliver fast, high quality experiences to users.
Doug Sillars presented four simple image optimizations that can deliver fast and beautiful images: 1) reducing image quality, 2) using optimized file formats like WebP and SVG, 3) sizing images appropriately, and 4) lazy loading images. He showed that implementing these optimizations can significantly reduce data usage and page load times, as evidenced by analyses of millions of mobile sites. Sillars also offered tips on additional optimizations like avoiding animated GIFs and unnecessary base64 encoding.
The document discusses optimizing images for fast delivery on mobile websites. It outlines 4 simple optimizations: 1) reducing image quality, 2) using efficient formats like JPEG, WebP and SVG, 3) sizing images appropriately for devices, and 4) lazy loading images below the fold. The author analyzes real-world usage and savings from these techniques, such as median page load time reductions of 2.83 seconds. Additional tips include avoiding animated GIFs and encoding videos instead, and adapting images based on user's network and device capabilities. Tools mentioned for optimizing and analyzing images include ImageMagick, SSIM, Responsive Breakpoints and Cloudinary.
This document provides an overview of optimizing images for faster page loads and better user experience. It discusses four main image optimizations: quality, format, sizing, and lazy loading. For each optimization, it explains the technique, provides examples, and shows data on adoption rates and typical page load improvements. Key points covered include compressing JPEG quality, using responsive images and formats like WebP, resizing images to actual displayed sizes, and lazy loading images below the fold. The document emphasizes that even small optimizations across an entire site can yield significant speed and data savings.
Doug Sillars presented optimizations for delivering fast and beautiful images on mobile. The 4 key optimizations discussed were: 1) reducing image quality, 2) using optimized formats like WebP and SVG, 3) sizing images responsively, and 4) lazy loading images. Testing with sites showed these techniques reduced page load times by several seconds on average and data usage by over 1MB.
Delivering Fast and Beautiful Images outlines 4 simple optimizations for image performance:
1) Reduce image quality for smaller file sizes without noticeable quality loss. 2) Use optimized formats like WebP and responsive images. 3) Resize images to actual display size. 4) Lazy load images to speed page loads. The document provides examples and data showing these techniques can significantly reduce data usage and page load times.
The document discusses optimizing image delivery for fast page loads by covering techniques like reducing image quality, using smaller file formats, sizing images responsively, and lazy loading images below the fold to reduce initial payload size and speed up rendering. It provides examples and metrics on how these optimizations can significantly improve page load speeds and reduce data usage.
This document provides an overview of optimizing image delivery for faster page loads. It discusses four main techniques: adjusting image quality, choosing optimal file formats like WebP and SVG, sizing images responsively, and lazy loading images below the fold. For each technique, the document shows how widespread adoption has led to significant median savings in page load times and data usage based on analyzing millions of mobile sites. It also provides examples and tools for implementing each optimization.
The document provides 4 simple optimizations for delivering fast and beautiful images on mobile: 1) Reduce image quality for smaller file sizes without significant quality loss, 2) Use efficient formats like WebP and SVG, 3) Optimize image sizes for different breakpoints, and 4) Lazy load images to speed up page loads. It discusses each optimization in detail and provides examples and tools to implement them. Overall, the document aims to help optimize image delivery for improved mobile performance.
Doug Sillars presented techniques for optimizing image performance on mobile websites. He discussed 4 key optimizations: 1) reducing image quality to 85%, 2) using efficient formats like WebP and SVG, 3) sizing images responsively, and 4) lazy loading images below the fold. Testing of millions of sites showed these techniques can reduce page load times by up to 15 seconds and data usage by up to 2.4 MB. Sillars recommended tools like ImageMagick, responsive breakpoints generator, and Cloudinary to help automate image optimizations.
This document provides a summary of techniques for optimizing image performance on mobile websites. It discusses optimizing image quality, format, sizing through responsive images, and lazy loading images. The techniques can significantly reduce data usage and improve page load speeds. Optimizing images is one of the most effective ways to improve mobile performance.
The document discusses optimizing images for fast loading on mobile websites. It recommends four simple image optimizations: 1) reducing image quality to 85%, 2) using optimized formats like JPEG, WebP and SVG, 3) sizing images appropriately for the viewport, and 4) lazy loading images below the fold. Implementing these techniques can significantly reduce data usage and speed up page load times. The document also provides examples and tools for implementing each optimization technique.
This document discusses optimizing mobile and web performance through testing, analyzing, and improving the delivery of content such as images, videos, and text. It provides an overview of common tools for testing performance, such as WebPageTest and Video Optimizer. It then covers best practices for optimizing different types of content, including compressing text and images, using responsive images, lazy loading images, optimizing video quality and formats, and configuring video streaming and delivery. The goal is to understand current performance and make targeted improvements to provide fast, high-quality experiences for users on mobile.
This document discusses optimizing images and video for fast delivery on mobile websites. It begins by explaining that fast loading is a human perception based on time thresholds, with 100ms perceived as instant. The document then outlines 4 simple image optimizations: quality, format, sizing, and lazy loading. It provides examples of each optimization and data on real-world usage. Additional topics discussed include responsive images, animated GIFs, save-data considerations, and base64 encoding. The overall message is that images make up most web content and several techniques can significantly improve performance and user experience.
The document discusses optimizing images for fast delivery on mobile websites. It recommends 4 simple optimizations: 1) reducing image quality to 85%, 2) using efficient formats like JPEG, PNG and WebP, 3) sizing images appropriately for different screens, and 4) lazy loading images below the fold. Implementing these optimizations can significantly reduce data usage and speed up page loads. The document also provides tips on vector images, responsive images and converting animated GIFs to video.
Its timetostopstalling sw_mobile_bristolDoug Sillars
Optimizing mobile performance is important to provide users with fast, immersive experiences. Testing tools like WebPageTest and Video Optimizer can identify opportunities to improve delivery speed through techniques like content compression, responsive images, and adaptive video bitrates. Reducing page weight by optimizing images, video formats and removing unnecessary redirects and third party interference can help speed load times and reduce frustration.
This document summarizes techniques for optimizing image delivery for fast page loads, including: reducing image quality, using optimized formats like WebP and SVG, sizing images appropriately, and lazy loading images below the fold. It provides examples of each technique and data on their impact, such as median savings of 2.83 seconds and 419KB from quality optimization. Recommended tools for optimizing and measuring performance are also listed. The overall message is that with the right optimizations, images can be both beautiful and fast loading.
This document summarizes Doug Sillars' presentation on delivering fast and beautiful images and video for mobile. It discusses 4 simple image optimizations: quality, format, sizing, and lazy loading. It also covers optimizing video delivery by reducing file sizes, only downloading video that will be displayed, and being mindful of data costs and network conditions for mobile users. The presentation provided examples and metrics on how these optimizations can significantly improve page load speeds and reduce data usage.
This document provides tips for optimizing images on websites to deliver fast loading speeds while maintaining image quality. It discusses optimizing image quality, format, sizing through responsive images, and lazy loading images below the fold. Key recommendations include using JPEG format at 85% quality, responsive images through picture tags, and lazy loading images to improve page load times and reduce data usage. Tools mentioned for optimizing images include ImageMagick, SSIM, LazySizes, and Cloudinary.
Doug Sillars presented four simple optimizations for delivering fast and beautiful images and video on mobile: 1) reduce image quality, 2) use optimized formats like WebP and SVG, 3) size images appropriately, and 4) lazy load images below the fold. He demonstrated how these techniques can significantly reduce page load times and data usage. Sillars also discussed best practices for video delivery and alternatives to animated GIFs that can reduce file sizes substantially. Throughout, he provided real-world examples and tools to help optimize multimedia content for mobile performance.
This document summarizes Doug Sillars' presentation on optimizing mobile and web performance. It discusses using tools like Video Optimizer and WebPageTest to test performance. It then provides best practices for optimizing content delivery through techniques like image optimization, text compression, lazy loading images, optimizing animated GIFs and video. It discusses how to prevent startup delays and stalls for video streaming.
Doug Sillars discusses optimizing images for fast delivery on mobile websites. He outlines 4 simple optimizations: 1) reducing image quality, 2) using optimized formats like JPEG, PNG and WebP, 3) sizing images appropriately through responsive images, and 4) lazy loading images below the fold. Formats like SVG and GIFs can further reduce file sizes. Tools like ImageMagick and libraries like LazySizes can help automate optimizations to deliver fast and beautiful images.
The document discusses optimizing images for fast loading on mobile websites. It recommends 4 simple image optimizations: 1) reducing image quality to 85%, 2) using efficient formats like JPEG, PNG and WebP, 3) sizing images appropriately for the viewport, and 4) lazy loading images below the fold. Implementing these techniques, such as optimizing quality, format, sizing and lazy loading, can significantly improve page load speeds and reduce data usage.
This document provides tips for optimizing images and video delivery on mobile websites to improve performance. It discusses reducing image file sizes through techniques like lowering quality levels, using optimized formats like WebP and SVG, resizing images responsively, and lazy loading images. For video, it recommends preloading, stripping audio from silent videos, resizing videos for mobile, and auditing third party videos. Testing and automation tools are also referenced. The overall message is that images and video can be both beautiful and fast with the right optimizations.
The document discusses optimizing images for fast delivery on mobile websites. It outlines 4 simple optimizations: 1) reducing image quality, 2) using efficient formats like JPEG, WebP and SVG, 3) sizing images appropriately for devices, and 4) lazy loading images below the fold. The author analyzes real-world usage and savings from these techniques, such as median page load time reductions of 2.83 seconds. Additional tips include avoiding animated GIFs and encoding videos instead, and adapting images based on user's network and device capabilities. Tools mentioned for optimizing and analyzing images include ImageMagick, SSIM, Responsive Breakpoints and Cloudinary.
This document provides an overview of optimizing images for faster page loads and better user experience. It discusses four main image optimizations: quality, format, sizing, and lazy loading. For each optimization, it explains the technique, provides examples, and shows data on adoption rates and typical page load improvements. Key points covered include compressing JPEG quality, using responsive images and formats like WebP, resizing images to actual displayed sizes, and lazy loading images below the fold. The document emphasizes that even small optimizations across an entire site can yield significant speed and data savings.
Doug Sillars presented optimizations for delivering fast and beautiful images on mobile. The 4 key optimizations discussed were: 1) reducing image quality, 2) using optimized formats like WebP and SVG, 3) sizing images responsively, and 4) lazy loading images. Testing with sites showed these techniques reduced page load times by several seconds on average and data usage by over 1MB.
Delivering Fast and Beautiful Images outlines 4 simple optimizations for image performance:
1) Reduce image quality for smaller file sizes without noticeable quality loss. 2) Use optimized formats like WebP and responsive images. 3) Resize images to actual display size. 4) Lazy load images to speed page loads. The document provides examples and data showing these techniques can significantly reduce data usage and page load times.
The document discusses optimizing image delivery for fast page loads by covering techniques like reducing image quality, using smaller file formats, sizing images responsively, and lazy loading images below the fold to reduce initial payload size and speed up rendering. It provides examples and metrics on how these optimizations can significantly improve page load speeds and reduce data usage.
This document provides an overview of optimizing image delivery for faster page loads. It discusses four main techniques: adjusting image quality, choosing optimal file formats like WebP and SVG, sizing images responsively, and lazy loading images below the fold. For each technique, the document shows how widespread adoption has led to significant median savings in page load times and data usage based on analyzing millions of mobile sites. It also provides examples and tools for implementing each optimization.
The document provides 4 simple optimizations for delivering fast and beautiful images on mobile: 1) Reduce image quality for smaller file sizes without significant quality loss, 2) Use efficient formats like WebP and SVG, 3) Optimize image sizes for different breakpoints, and 4) Lazy load images to speed up page loads. It discusses each optimization in detail and provides examples and tools to implement them. Overall, the document aims to help optimize image delivery for improved mobile performance.
Doug Sillars presented techniques for optimizing image performance on mobile websites. He discussed 4 key optimizations: 1) reducing image quality to 85%, 2) using efficient formats like WebP and SVG, 3) sizing images responsively, and 4) lazy loading images below the fold. Testing of millions of sites showed these techniques can reduce page load times by up to 15 seconds and data usage by up to 2.4 MB. Sillars recommended tools like ImageMagick, responsive breakpoints generator, and Cloudinary to help automate image optimizations.
This document provides a summary of techniques for optimizing image performance on mobile websites. It discusses optimizing image quality, format, sizing through responsive images, and lazy loading images. The techniques can significantly reduce data usage and improve page load speeds. Optimizing images is one of the most effective ways to improve mobile performance.
The document discusses optimizing images for fast loading on mobile websites. It recommends four simple image optimizations: 1) reducing image quality to 85%, 2) using optimized formats like JPEG, WebP and SVG, 3) sizing images appropriately for the viewport, and 4) lazy loading images below the fold. Implementing these techniques can significantly reduce data usage and speed up page load times. The document also provides examples and tools for implementing each optimization technique.
This document discusses optimizing mobile and web performance through testing, analyzing, and improving the delivery of content such as images, videos, and text. It provides an overview of common tools for testing performance, such as WebPageTest and Video Optimizer. It then covers best practices for optimizing different types of content, including compressing text and images, using responsive images, lazy loading images, optimizing video quality and formats, and configuring video streaming and delivery. The goal is to understand current performance and make targeted improvements to provide fast, high-quality experiences for users on mobile.
This document discusses optimizing images and video for fast delivery on mobile websites. It begins by explaining that fast loading is a human perception based on time thresholds, with 100ms perceived as instant. The document then outlines 4 simple image optimizations: quality, format, sizing, and lazy loading. It provides examples of each optimization and data on real-world usage. Additional topics discussed include responsive images, animated GIFs, save-data considerations, and base64 encoding. The overall message is that images make up most web content and several techniques can significantly improve performance and user experience.
The document discusses optimizing images for fast delivery on mobile websites. It recommends 4 simple optimizations: 1) reducing image quality to 85%, 2) using efficient formats like JPEG, PNG and WebP, 3) sizing images appropriately for different screens, and 4) lazy loading images below the fold. Implementing these optimizations can significantly reduce data usage and speed up page loads. The document also provides tips on vector images, responsive images and converting animated GIFs to video.
Its timetostopstalling sw_mobile_bristolDoug Sillars
Optimizing mobile performance is important to provide users with fast, immersive experiences. Testing tools like WebPageTest and Video Optimizer can identify opportunities to improve delivery speed through techniques like content compression, responsive images, and adaptive video bitrates. Reducing page weight by optimizing images, video formats and removing unnecessary redirects and third party interference can help speed load times and reduce frustration.
This document summarizes techniques for optimizing image delivery for fast page loads, including: reducing image quality, using optimized formats like WebP and SVG, sizing images appropriately, and lazy loading images below the fold. It provides examples of each technique and data on their impact, such as median savings of 2.83 seconds and 419KB from quality optimization. Recommended tools for optimizing and measuring performance are also listed. The overall message is that with the right optimizations, images can be both beautiful and fast loading.
This document summarizes Doug Sillars' presentation on delivering fast and beautiful images and video for mobile. It discusses 4 simple image optimizations: quality, format, sizing, and lazy loading. It also covers optimizing video delivery by reducing file sizes, only downloading video that will be displayed, and being mindful of data costs and network conditions for mobile users. The presentation provided examples and metrics on how these optimizations can significantly improve page load speeds and reduce data usage.
This document provides tips for optimizing images on websites to deliver fast loading speeds while maintaining image quality. It discusses optimizing image quality, format, sizing through responsive images, and lazy loading images below the fold. Key recommendations include using JPEG format at 85% quality, responsive images through picture tags, and lazy loading images to improve page load times and reduce data usage. Tools mentioned for optimizing images include ImageMagick, SSIM, LazySizes, and Cloudinary.
Doug Sillars presented four simple optimizations for delivering fast and beautiful images and video on mobile: 1) reduce image quality, 2) use optimized formats like WebP and SVG, 3) size images appropriately, and 4) lazy load images below the fold. He demonstrated how these techniques can significantly reduce page load times and data usage. Sillars also discussed best practices for video delivery and alternatives to animated GIFs that can reduce file sizes substantially. Throughout, he provided real-world examples and tools to help optimize multimedia content for mobile performance.
This document summarizes Doug Sillars' presentation on optimizing mobile and web performance. It discusses using tools like Video Optimizer and WebPageTest to test performance. It then provides best practices for optimizing content delivery through techniques like image optimization, text compression, lazy loading images, optimizing animated GIFs and video. It discusses how to prevent startup delays and stalls for video streaming.
Doug Sillars discusses optimizing images for fast delivery on mobile websites. He outlines 4 simple optimizations: 1) reducing image quality, 2) using optimized formats like JPEG, PNG and WebP, 3) sizing images appropriately through responsive images, and 4) lazy loading images below the fold. Formats like SVG and GIFs can further reduce file sizes. Tools like ImageMagick and libraries like LazySizes can help automate optimizations to deliver fast and beautiful images.
The document discusses optimizing images for fast loading on mobile websites. It recommends 4 simple image optimizations: 1) reducing image quality to 85%, 2) using efficient formats like JPEG, PNG and WebP, 3) sizing images appropriately for the viewport, and 4) lazy loading images below the fold. Implementing these techniques, such as optimizing quality, format, sizing and lazy loading, can significantly improve page load speeds and reduce data usage.
This document provides tips for optimizing images and video delivery on mobile websites to improve performance. It discusses reducing image file sizes through techniques like lowering quality levels, using optimized formats like WebP and SVG, resizing images responsively, and lazy loading images. For video, it recommends preloading, stripping audio from silent videos, resizing videos for mobile, and auditing third party videos. Testing and automation tools are also referenced. The overall message is that images and video can be both beautiful and fast with the right optimizations.
Imagesandvideo stockholm fastandbeautifulDoug Sillars
This document discusses 4 simple optimizations that can be made to images on websites to improve performance: 1) Reducing image quality, 2) Using optimized file formats like JPEG, WebP and SVG, 3) Resizing images to actual display size, and 4) Implementing lazy loading so images outside the viewport are not downloaded. It provides examples and data on how each technique can significantly reduce data usage and improve load times.
The document discusses optimizing images for fast loading on mobile websites. It outlines 4 simple image optimizations: 1) reducing image quality, 2) using optimized file formats like WebP and JPEG, 3) sizing images appropriately for the viewport, and 4) lazy loading images below the fold. The document provides examples of how each technique can significantly reduce image file sizes and page load times. Testing of real-world websites shows widespread room for improvement in mobile image optimization.
This document discusses optimizing images and video for fast delivery on mobile. It recommends 4 simple image optimizations: reducing quality to 85%, using WebP format, resizing images responsively, and lazy loading images. For video, it suggests stripping audio from silent videos, resizing videos for mobile, and auditing third party videos. Testing sites with WebPageTest and analyzing trends with HttpArchive can help optimize content delivery.
The document discusses optimizing images for fast loading on mobile websites. It provides 4 simple optimizations: 1) reducing image quality, 2) using optimized formats like WebP and SVG, 3) proper sizing of images for different screen sizes, and 4) lazy loading images that are not immediately visible. The document shows how these techniques can significantly reduce image file sizes and page load times based on analyzing millions of mobile sites. It also discusses alternatives to animated GIFs like using video formats and preview images to improve performance.
This document discusses how to optimize images and video for fast delivery on mobile websites. The key points covered are:
1. Images and video make up 75% of web content and large downloads can cause delays, frustration for users, and loss of engagement and revenue.
2. Image compression techniques like lossy compression and adjusting quality levels can significantly reduce file sizes while maintaining acceptable quality levels.
3. Responsive images ensure the right sized image is delivered for different screen sizes.
4. Vector images are infinitely scalable and can reduce file sizes compared to raster images like JPEGs.
5. Techniques for video like optimizing the manifest file and balancing delivery across available streams can reduce startup
This document provides an overview of optimizing images and video for delivery on mobile devices. It discusses four main optimizations for images: quality, format, sizing, and lazy loading. For quality, it recommends using 85% quality for JPEG images. For format, it suggests using formats like WebP, SVG and responsive images. For sizing, it discusses generating responsive image sizes. For lazy loading, it covers techniques to delay loading images until they are visible. For video, it discusses optimizations like preloading, resizing video, removing audio from non-playing videos, and optimizing video delivery through techniques like manifest files and adaptive bitrate streaming.
The document discusses optimizing mobile and web performance. It provides tips for testing performance using tools like Video Optimizer and WebPageTest. It also gives best practices for content delivery such as compressing text, optimizing image size and quality, and choosing appropriate video bitrates. The summary highlights reducing redirects, using CDNs, text compression, responsive images, and selecting the right video bitrate to improve performance.
Devfest Siberia Fast and Beautiful Images and VideoDoug Sillars
This document provides an overview of optimizing images and video delivery for mobile websites. It discusses four simple image optimizations: adjusting quality, choosing optimal file formats like WebP and SVG, resizing images responsively, and lazy loading images. It also covers optimizing video delivery through techniques like preloading strategically, resizing background videos appropriately, minimizing third party dependencies, and configuring adaptive bitrate streaming. The goal is to reduce payload sizes and improve load performance.
The document discusses optimizing mobile performance. It recommends testing performance using tools like WebPageTest and Video Optimizer. It then provides tips for optimizing content delivery through techniques like text compression, responsive images at appropriate sizes and quality levels, and choosing optimal video bitrates. The overall goal is to balance delivery speed, network conditions and quality of experience for users.
This document discusses optimizing images for fast loading on mobile devices. It recommends four simple image optimizations: 1) reducing image quality to 85%, 2) using efficient formats like WebP and SVG, 3) sizing images appropriately for the viewport, and 4) lazy loading images below the fold. Data from the HTTP Archive is presented showing the prevalence and impact of these optimizations. Specific techniques like responsive images and image processing tools are also outlined.
This document discusses optimizing images for fast delivery on mobile websites. It outlines four simple image optimizations: quality, format, sizing, and lazy loading. For each optimization, it provides examples and data on current usage. Quality recommends compressing to 85% without significant quality loss. Format suggests using webp and svg where supported. Sizing involves generating responsive images at appropriate breakpoints. Lazy loading delays image loading to above the fold content. Together, these techniques can significantly improve performance without compromising quality.
This document provides tips for optimizing images for fast loading on mobile websites. It discusses 4 key optimizations: image quality, format, sizing, and lazy loading. For quality, it recommends reducing to 85% quality, which can significantly reduce file sizes with little quality loss. For format, it promotes webp and svg over jpeg and png. For sizing, it stresses responsive images at different breakpoints to reduce file sizes. And for lazy loading, it shows how delaying non-critical image loads can improve performance. Measurements are given for how widely these techniques have been adopted and the potential savings in load times and data usage. Tools are also listed for implementing the various optimizations.
Doug Sillars discusses using AI and machine learning to simplify image preparation for the web. He describes how object detection can be used for cropping, blurring objects, object removal, and generating alt text. Sillars also provides examples of using these techniques like detecting and adding sunglasses to images. He concludes that image processing with AI and ML can automate tasks like cropping, blurring, object removal, and alt text generation for image optimization.
This document provides best practices for optimizing video delivery and streaming on the web. It discusses how video files are large and can negatively impact page load times and user data plans. Some key recommendations include resizing videos appropriately for different screens, avoiding downloading hidden or unnecessary videos, using video streaming with a low starting bitrate for faster startup times, stripping audio from silent videos, and auditing third party video hosts for performance issues. The document emphasizes optimizing video delivery to respect mobile users' limited data plans.
The document discusses optimizing video delivery for performance and reducing data usage. It provides examples of HTML code to embed video on a webpage and control playback behavior. It also summarizes techniques for resizing and encoding videos to different formats and bitrates to reduce file sizes while maintaining quality, such as using services like Cloudinary. Optimizing factors like video size, bitrate, and delivery method can help videos start faster and reduce stalling to improve the user experience.
Doug Sillars discusses using AI and machine learning to simplify image preparation for the web. He covers how object detection can be used for cropping, blurring, object removal, and generating alt text. Sillars also demonstrates training a model to add sunglasses to faces in images without manually editing thousands of photos. In summary, AI and ML techniques can automate many image editing tasks previously done manually to optimize images for websites and apps.
The document discusses building augmented reality (AR) and virtual reality (VR) experiences in the browser. It demonstrates how to create a VR art gallery using A-Frame, optimize images and 3D models for AR/VR, and add AR functionality using AR.js markers. It also covers upcoming AR capabilities using WebXR, such as hit testing. Optimizations like resizing images, format and quality adjustments, cropping, and Draco compression are recommended to reduce file sizes and loading times. The talk concludes with resources for setting up a sample AR art gallery project and suggestions for art assets to include.
This document discusses using AI and machine learning to simplify image preparation for the web. It describes how object detection can be used for cropping, blurring, object removal, and generating alt text. It provides examples of using these techniques to automatically add sunglasses to faces in images. The document concludes by mentioning that image processing with AI and ML can simplify tasks like cropping, blurring, object removal, and alt text generation for images on the web.
The document discusses building augmented reality (AR) and virtual reality (VR) experiences in the browser. It begins with an overview of what can currently be done with AR and VR using the A-Frame framework, including examples of building VR art galleries and scenes. It then covers adding AR capabilities using AR.js by placing 3D objects with markers. The document emphasizes optimizations needed for AR and VR like reducing file sizes and optimizing image quality and format. It also discusses the potential for building AR experiences using the emerging WebXR standard. Throughout it provides links to code samples and resources.
Doug Sillars gave a presentation on using AI to optimize images for the web. He discussed how images dominate web content and explained techniques like cropping, blurring objects, and generating alt text using machine learning models. Sillars also demonstrated how to train custom models for tasks like detecting sunglasses and adding filters to photos. The presentation concluded by emphasizing how AI and ML can simplify and automate image preparation and processing for digital content.
This document discusses using AI and machine learning to simplify image preparation for the web. It describes how object detection can be used for cropping, blurring objects, object removal, and generating alt text. It also provides examples of training custom models for tasks like automatically adding sunglasses to faces in images. The conclusion emphasizes that image processing with AI and ML can automate tasks like cropping, blurring, object removal, and alt text generation for image preparation.
This document summarizes a presentation about building augmented reality (AR) and virtual reality (VR) experiences in the browser. It discusses using the A-Frame framework to create VR galleries and scenes that can be viewed today. It also covers adding AR capabilities using AR.js by placing 3D objects using markers. The presentation provides examples of optimizing assets for AR/VR experiences, such as resizing images, compressing formats, and using services like Cloudinary. Upcoming capabilities discussed include AR hit testing using the WebXR Device API in Chrome Canary. The document aims to demonstrate that AR does not need to be processor intensive or rely on large amounts of data.
This document summarizes Doug Sillars' presentation on building augmented reality experiences in the browser. Sillars discusses using A-Frame to create VR galleries that can be viewed today in the browser. He then explains how to add AR functionality using AR.js by placing 3D objects with markers. Sillars also covers optimizing assets for AR/VR experiences by reducing file sizes and formats. Finally, he demonstrates early AR capabilities with WebXR by hitting 3D objects in a gallery on mobile.
Doug Sillars discusses using AI and machine learning to simplify image preparation for the web. He describes how object detection can be used for automatic cropping, blurring, object removal, and generating alt text. Sillars also demonstrates training a model to detect sunglasses and apply transparent sunglasses overlays to images. The techniques discussed provide shortcuts for common image editing tasks over manually processing large numbers of images.
The document discusses building augmented reality (AR) and virtual reality (VR) experiences in the browser. It introduces AR.js and A-Frame for creating AR and VR using web technologies. Examples are provided of building a VR art gallery in A-Frame and adding AR functionality using AR.js and marker-based tracking. Optimization techniques for images, 3D models, and video are covered to improve performance for AR and VR. Upcoming capabilities for AR in WebXR are previewed. The document aims to demonstrate what can be done with AR and VR today in the browser and highlights areas that will continue advancing.
This document discusses building augmented reality (AR) and virtual reality (VR) experiences in the browser. It begins with an overview of VR using the A-Frame framework to build 3D scenes and galleries. It then covers adding AR functionality using AR.js markers to place 3D objects. The document outlines various optimizations needed for media in AR/VR like reducing file sizes and formats. It also introduces using the WebXR API for AR hit testing. Throughout examples of building an AR art gallery are provided. The document concludes that AR on the web is available today and continues to improve with new APIs and optimizations.
The document provides an overview of optimisations that can be made to apps to improve performance and speed. It discusses how fast is perceived by humans, benchmarking current performance, optimising images through resizing, formatting and lazy loading, reducing payload sizes through caching and content delivery, and replacing animated GIFs with optimized video formats. The document contains tips and examples for profiling apps and making optimizations to deliver content quickly.
The document discusses building augmented reality (AR) and virtual reality (VR) experiences in the browser. It demonstrates how to create VR galleries and add art using the A-Frame framework. It also shows how to build AR experiences using AR.js that place 3D objects using markers. The document emphasizes optimizations needed for AR/VR like reducing file sizes and formats of images. It highlights upcoming capabilities like AR hit testing using WebXR. In conclusion, the document demonstrates that AR on the web is available today and does not need to be processor intensive or use large amounts of data.
1. Video files are large and consuming more mobile data. Streaming video helps reduce this by only downloading segments as needed.
2. Best practices for video include resizing files appropriately for screens, avoiding downloading hidden or duplicate videos, stripping audio from silent videos, and starting streaming at lower bitrates for faster startup.
3. Video players are not responsive by default, so using the correct attributes can optimize streaming and respect users' data plans. Third party video hosts also need performance auditing.
The document provides tips for optimizing app performance and speed. It discusses how fast is perceived by humans, benchmarking current performance, optimizing images through resizing, format changes, quality adjustments, caching and lazy loading. Other tips include minimizing JSON response sizes through encoding, improving startup speed, and handling animated GIFs and videos efficiently. Testing tools are recommended to continuously monitor performance. The overall message is that applications can provide beautiful user experiences while also being fast.
Test Case Design Techniques as chapter 4 of ISTQB Foundation. Topics included are Equivalence Partition, Boundary Value Analysis, State Transition Testing, Decision Table Testing, Use Case Testing, Statement Coverage, Decision Coverage, Error Guessing, Exploratory Testing, Checklist Based Testing
Quantum Communications Q&A with Gemini LLM. These are based on Shannon's Noisy channel Theorem and offers how the classical theory applies to the quantum world.
The presentation will delve into the ASIMOV project, a novel initiative that leverages Retrieval-Augmented Generation (RAG) to provide precise, domain-specific assistance to telecommunications engineers and technicians. The session will focus on the unique capabilities of Milvus, the chosen vector database for the project, and its advantages over other vector databases.
Attending this session will give you a deeper understanding of the potential of RAG and Milvus DB in telecommunications engineering. You will learn how to address common challenges in the field and enhance the efficiency of their operations. The session will equip you with the knowledge to make informed decisions about the choice of vector databases, and how best to use them for your use-cases
Sustainability requires ingenuity and stewardship. Did you know Pigging Solutions pigging systems help you achieve your sustainable manufacturing goals AND provide rapid return on investment.
How? Our systems recover over 99% of product in transfer piping. Recovering trapped product from transfer lines that would otherwise become flush-waste, means you can increase batch yields and eliminate flush waste. From raw materials to finished product, if you can pump it, we can pig it.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/07/intels-approach-to-operationalizing-ai-in-the-manufacturing-sector-a-presentation-from-intel/
Tara Thimmanaik, AI Systems and Solutions Architect at Intel, presents the “Intel’s Approach to Operationalizing AI in the Manufacturing Sector,” tutorial at the May 2024 Embedded Vision Summit.
AI at the edge is powering a revolution in industrial IoT, from real-time processing and analytics that drive greater efficiency and learning to predictive maintenance. Intel is focused on developing tools and assets to help domain experts operationalize AI-based solutions in their fields of expertise.
In this talk, Thimmanaik explains how Intel’s software platforms simplify labor-intensive data upload, labeling, training, model optimization and retraining tasks. She shows how domain experts can quickly build vision models for a wide range of processes—detecting defective parts on a production line, reducing downtime on the factory floor, automating inventory management and other digitization and automation projects. And she introduces Intel-provided edge computing assets that empower faster localized insights and decisions, improving labor productivity through easy-to-use AI tools that democratize AI.
UiPath Community Day Kraków: Devs4Devs ConferenceUiPathCommunity
We are honored to launch and host this event for our UiPath Polish Community, with the help of our partners - Proservartner!
We certainly hope we have managed to spike your interest in the subjects to be presented and the incredible networking opportunities at hand, too!
Check out our proposed agenda below 👇👇
08:30 ☕ Welcome coffee (30')
09:00 Opening note/ Intro to UiPath Community (10')
Cristina Vidu, Global Manager, Marketing Community @UiPath
Dawid Kot, Digital Transformation Lead @Proservartner
09:10 Cloud migration - Proservartner & DOVISTA case study (30')
Marcin Drozdowski, Automation CoE Manager @DOVISTA
Pawel Kamiński, RPA developer @DOVISTA
Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner
09:40 From bottlenecks to breakthroughs: Citizen Development in action (25')
Pawel Poplawski, Director, Improvement and Automation @McCormick & Company
Michał Cieślak, Senior Manager, Automation Programs @McCormick & Company
10:05 Next-level bots: API integration in UiPath Studio (30')
Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner
10:35 ☕ Coffee Break (15')
10:50 Document Understanding with my RPA Companion (45')
Ewa Gruszka, Enterprise Sales Specialist, AI & ML @UiPath
11:35 Power up your Robots: GenAI and GPT in REFramework (45')
Krzysztof Karaszewski, Global RPA Product Manager
12:20 🍕 Lunch Break (1hr)
13:20 From Concept to Quality: UiPath Test Suite for AI-powered Knowledge Bots (30')
Kamil Miśko, UiPath MVP, Senior RPA Developer @Zurich Insurance
13:50 Communications Mining - focus on AI capabilities (30')
Thomasz Wierzbicki, Business Analyst @Office Samurai
14:20 Polish MVP panel: Insights on MVP award achievements and career profiling
Multimodal Retrieval Augmented Generation (RAG) with MilvusZilliz
We've seen an influx of powerful multimodal capabilities in many LLMs. In this talk, we'll vectorize a dataset of images and texts into the same embedding space, store them in Milvus, retrieve all relevant data using multilingual texts and/or images and input multimodal data as context into GPT-4o.
The document discusses testing throughout the software development life cycle. It describes different software development models including sequential, incremental, and iterative models. It also covers different test levels from component and integration testing to system and acceptance testing. The document discusses different types of testing including functional and non-functional testing. It also covers topics like maintenance testing and triggers for additional testing when changes are made. Also covers concepts of Agile including DevOps, Shift Left Approach, TDD, BDD, ATDD, Retrospective and Process Improvement
The DealBook is our annual overview of the Ukrainian tech investment industry. This edition comprehensively covers the full year 2023 and the first deals of 2024.
Data Protection in a Connected World: Sovereignty and Cyber Securityanupriti
Delve into the critical intersection of data sovereignty and cyber security in this presentation. Explore unconventional cyber threat vectors and strategies to safeguard data integrity and sovereignty in an increasingly interconnected world. Gain insights into emerging threats and proactive defense measures essential for modern digital ecosystems.
this resume for sadika shaikh bca studentSadikaShaikh7
I am a dedicated BCA student with a strong foundation in web technologies, including PHP and MySQL. I have hands-on experience in Java and Python, and a solid understanding of data structures. My technical skills are complemented by my ability to learn quickly and adapt to new challenges in the ever-evolving field of computer science.
AI_dev Europe 2024 - From OpenAI to Opensource AIRaphaël Semeteys
Navigating Between Commercial Ownership and Collaborative Openness
This presentation explores the evolution of generative AI, highlighting the trajectories of various models such as GPT-4, and examining the dynamics between commercial interests and the ethics of open collaboration. We offer an in-depth analysis of the levels of openness of different language models, assessing various components and aspects, and exploring how the (de)centralization of computing power and technology could shape the future of AI research and development. Additionally, we explore concrete examples like LLaMA and its descendants, as well as other open and collaborative projects, which illustrate the diversity and creativity in the field, while navigating the complex waters of intellectual property and licensing.
This slide deck is a deep dive the Salesforce latest release - Summer 24, by the famous Stephen Stanley. He has examined the release notes very carefully, and summarised them for the Wellington Salesforce user group, virtual meeting June 27 2024.
Chapter 3 of ISTQB Foundation 2018 syllabus with sample questions. Answers about what is static testing, what is review, types of review, informal review, walkthrough, technical review, inspection.
9 Ways Pastors Will Use AI Everyday By 2029
These future use cases are only a handful of the many many options generative AI is providing pastors and leaders everywhere. If you learn how AI might enhance and support your ministry, you'll enter into a world that's full of hope for the Gospel.
Learn more at http://www.AIforChurchLeaders.com and http://www.churchtechtoday.com
Artificial Intelligence (AI), Robotics and Computational fluid dynamicsChintan Kalsariya
Dive into the intersection of Artificial Intelligence (AI), Robotics, and Computational Fluid Dynamics (CFD) in pharmaceutical sciences. This presentation provides a comprehensive overview, from the foundational principles to advanced applications in pharmaceutical automation. Explore the transformative impact of AI and robotics on drug discovery, manufacturing, and delivery, alongside CFD's role in optimizing processes. Delve into the advantages and disadvantages of integrating these technologies, uncover current challenges, and envision future directions shaping the future of pharmaceutical innovation.
This presentation will explore the intersection of artificial intelligence, robotics, and computational fluid dynamics in the context of pharmaceutical automation. We will provide an overview of these technologies, discuss their applications in the pharmaceutical industry, highlight the advantages and disadvantages of their use, and examine current challenges and future directions.
The integration of artificial intelligence, robotics, and computational fluid dynamics in pharmaceutical automation has the potential to revolutionize the industry, improving efficiency, safety, and quality control. However, challenges related to data management, standardization, workforce adaptation, and regulatory compliance must be addressed. The future of pharmaceutical automation lies in the continued development and integration of these technologies, leading to more efficient, reliable, and innovative drug manufacturing processes.
AI in Pharmaceutical Industry
Pharmaceutical Automation
Robotics in Pharma
Computational Fluid Dynamics (CFD)
Drug Discovery
Pharmaceutical Manufacturing
Pharmaceutical Applications
Advantages of AI and Robotics
Disadvantages of AI and Robotics
Challenges in Pharmaceutical Automation
Future of AI and Robotics in Pharma
Artificial Intelligence
Robotics
Computational Fluid Dynamics
Pharmaceutical Automation
Drug Discovery
Manufacturing Optimization
AI in Healthcare
Robotics in Pharmaceuticals
CFD Applications
Pharmaceutical Industry
Advantages of AI
Disadvantages of Robotics
Challenges in CFD
Future of AI in Pharma
Automation Trends
4. 0.5
0.6
0.7
0.8
0.9
Standing in Line Standing on the
edge of a virtual
cliff
Experiencing
Mobile Delays
Solving a Math
Problem
https://www.ericsson.com/res/docs/2016/mobility-report/emr-feb-2016-the-stress-of-steaming-delays.pdf
Stress
5. Large Downloads Induce Delays in Rendering
3s: 53% of Users Abandon Mobile Sites
500ms: 26% Frustration
8% Engagement
100ms: 1% Revenue Walmart & Amazon (Desktop 2001)
4% Mobile Users Throw Their Phones
https://www.doubleclickbygoogle.com/articles/mobile-speed-matters
http://bit.ly/mobileWebStress
http://www.globaldots.com/how-website-speed-affects-conversion-rates/
https://www.mobilejoomla.com/blog/172-responsive-design-vs-server-side-solutions-infographic.html
6. Images & Video make up 75% of Web Content
HTTPArchive mobile websites 15/02/18
28. Image Formats – Average Size
HTTPArchive mobile websites 15/02/18
29. Image Formats – Average Size
HTTPArchive mobile websites 15/02/18
30. Scalable Vector Graphics (SVG)
Images drawn as shapes
infinitely scalable
XML - Can be added inline to HTML document
https://gist.github.com/hail2u/2884613?short_path=66a60ff
31. Scalable Vector Graphics (SVG)
Images drawn as shapes
infinitely scalable
XML - Can be added inline to HTML document
https://gist.github.com/hail2u/2884613?short_path=66a60ff
76. Animated GIFs
“The Graphics Interchange Format is not
intended as a platform for animation, even
though it can be done in a limited way.”
-GIF89a Specification
https://www.w3.org/Graphics/GIF/spec-gif89a.txt
88. Video Startup Delay
After 2 seconds,
every additional
second corresponds
to 5.8% increase in
abandonment
https://www.akamai.com/kr/ko/multimedia/documents/technical-publication/video-stream-quality-impacts-viewer-behavior-inferring-causality-using-quasi-experimental-designs-technical-publication.pdf
95. Video Background
Video (as Downloaded): 5.3 MB
Video 5 MB
Audio 250 KB 5% of file
Best Practice:
To save bandwidth, remove the audio stream from videos that
are played silently.
121. Addendum 2: Network Info
// Network type that browser uses
navigator.connection.type;
// Effective bandwidth estimate
navigator.connection.downlink
// Effective round-trip time estimate
navigator.connection.rtt
// Upper bound on the downlink speed of the first network hop
navigator.connection.downlinkMax
122. Addendum 2: Network Info
// Network type that browser uses
navigator.connection.type;
// Effective bandwidth estimate
navigator.connection.downlink
// Effective round-trip time estimate
navigator.connection.rtt
// Upper bound on the downlink speed of the first network hop
navigator.connection.downlinkMax
500 KBPS
123. Addendum 3: Base 64 Encoding
Images embedded as Base64 in your HTML/CSS/JS
• Fewer Requests
• Images Now Block Rendering of Page
• Images are 20-30% larger
• Caching is limited
• Difficult to reference more than once
https://calendar.perfplanet.com/2018/performance-anti-patterns-base64-encoding/
124. Addendum 3: Base 64 Encoding
https://cdn.glowing.com/generated/css/base.474240e8485dbff13fd3652d24ef83bc.css
125. Conclusion
Optimize Image:
Quality
Format
Sizing
Lazy Load if Possible
aGIFs to movies
No Base64 Encoded Images
Monitor Customer’s headers
Images Video
Optimize Image:
device screen (DPR?)
only download if displayed
Bitrate
Streaming is more efficient
Video can be expensive
128. Love Building with Video and Images?
Media Developer Expert
mde-comm@cloudinary.com
Become a
129. Addendum 3: Base64 Encoded Images
Fewer Requests *can* be better
Images in CSS place Images in the Critical Rendering path
Hardcoding images as text increases size by 20-30%