Ux connect london_fastandbeautiful

Mobile and web performance is critical for user experience. Testing tools like WebPageTest and Video Optimizer can identify optimization opportunities such as slow delivery speeds, large files, and inefficient content. Key best practices include using content delivery networks to cache content globally, compressing text and images, resizing images appropriately, and choosing optimal video bitrates. Adhering to these performance best practices can significantly improve load times and user engagement.

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 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.

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.

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.

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 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 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.

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.

- Images and video make up 75% of web content and can significantly impact page load speeds if not optimized properly - Large file sizes, inefficient formats, and lack of responsive images are some of the key factors that slow down page loads - Techniques like compression, responsive images, lazy loading, efficient formats like WebP and SVG, and optimizing delivery can help make images and video both beautiful and fast to load

1. Images and video make up 75% of web content and large file sizes can significantly slow down page loads and reduce user engagement. 2. Optimizing images by choosing efficient formats, compressing while maintaining quality, lazy loading, and responsive loading techniques can dramatically reduce file sizes while preserving visual quality. 3. For video, choosing appropriate streaming formats and bitrates to match network conditions and preloading content helps minimize startup delays that can cause users to abandon the video experience.

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.

Mobile apps and mobile video need to be delivered quickly to keep your customers happy. This presentation was given in Brasov on 13/02/2018

This document discusses optimizing content delivery for mobile performance. It begins by introducing common tools for testing mobile performance like Video Optimizer and WebPageTest. It then discusses best practices for optimizing delivery speed such as using content delivery networks (CDNs) and image compression. Other topics covered include optimizing images, responsive delivery, animations, and video streaming. The overall message is that optimizing these areas can significantly improve mobile performance and user experience.

This document discusses optimizing mobile performance. It recommends testing performance with tools like WebPageTest and Video Optimizer. It then provides tips for optimizing content delivery such as compressing text, resizing and compressing images, preloading video correctly, and starting video streams at a low bitrate for faster loading. The document stresses the importance of mobile performance and outlines best practices.

The document discusses optimizing mobile and web performance. It provides tools for testing performance, such as Video Optimizer and WebPageTest. It also gives best practices for optimizing content delivery, such as using CDNs to reduce delivery time, compressing text, resizing and optimizing image quality and format, and choosing appropriate video bitrates. The overall goals are to improve loading speed, reduce bandwidth usage, and create engaging mobile experiences.

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.

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.

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.

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.

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.

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.

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.

The document discusses optimizing mobile and web performance. It provides tools and best practices for testing performance, optimizing content delivery, and reducing latency. Specifically, it recommends using CDNs to improve delivery speed, compressing text, optimizing image size and quality, and selecting appropriate video bitrates. Testing tools mentioned include WebPageTest, Video Optimizer, and Cloudinary for images. The goal is to deliver content as fast as possible to improve the user experience.

This document discusses optimizing content delivery for mobile performance. It begins by introducing common tools for testing mobile performance like Video Optimizer and WebPageTest. It then discusses best practices like using a content delivery network to improve delivery speed, compressing content, optimizing images, and improving video streaming. The key points are that delivery speed, proper content sizing, and balancing network conditions are important for optimizing content and avoiding delays that hurt the user experience.

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.

This document summarizes Doug Sillars' presentation on mobile and web performance optimization. It discusses how delays impact user behavior, with 53% abandoning mobile sites after 3 seconds. Testing tools like Video Optimizer and WebPageTest are recommended. Best practices include optimizing delivery speed with CDNs, reducing redirects, compressing text, optimizing images for size and format, and choosing appropriate video bitrates. The summary highlights key areas of content delivery, testing, and tools to measure and improve performance.

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.

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 mobile and web performance. It provides tools for testing performance, such as Video Optimizer and WebPageTest. It also gives best practices for optimizing content delivery, such as using CDNs to reduce delivery time, compressing text, resizing and optimizing image quality and format, and choosing appropriate video bitrates. The overall goals are to improve loading speed, reduce bandwidth usage, and create engaging mobile experiences.

This document discusses optimizing mobile and web performance. It recommends testing websites and apps using tools like WebPageTest and Video Optimizer to analyze loading speeds and identify optimization opportunities. Common issues include large file sizes, unnecessary redirects, low quality images, and high bitrate videos. The document provides best practices for faster content delivery such as text compression, responsive images, and adding multiple streaming options. The goal is to balance fast initial loads with smooth streaming by addressing these performance bottlenecks.

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.

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 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 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.

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 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 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.

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.

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 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 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.

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.

In the modern digital era, social media platforms have become integral to our daily lives. These platforms, including Facebook, Instagram, WhatsApp, and Snapchat, offer countless ways to connect, share, and communicate.

Blockchain technology is transforming industries and reshaping the way we conduct business, manage data, and secure transactions. Whether you're new to blockchain or looking to deepen your knowledge, our guidebook, "Blockchain for Dummies", is your ultimate resource.

Your comprehensive guide to RPA in healthcare for 2024. Explore the benefits, use cases, and emerging trends of robotic process automation. Understand the challenges and prepare for the future of healthcare automation

Invited Remote Lecture to SC21 The International Conference for High Performance Computing, Networking, Storage, and Analysis St. Louis, Missouri November 18, 2021

accommodate the strengths, weaknesses, threats and opportunities of autonomous vehicles

Jindong Gu, Zhen Han, Shuo Chen, Ahmad Beirami, Bailan He, Gengyuan Zhang, Ruotong Liao, Yao Qin, Volker Tresp, Philip Torr "A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models" arXiv2023 https://arxiv.org/abs/2307.12980

This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator. Link to presentation recording and slides: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/ Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.

Slide of the tutorial entitled "Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Emerging Trends" held at UMAP'24: 32nd ACM Conference on User Modeling, Adaptation and Personalization (July 1, 2024 | Cagliari, Italy)