Stop Stalling: Video Delivery Best Practices

This document provides best practices for optimizing video delivery and streaming on the web. It notes that video files are large and growing, and that 19% of videos are identical on desktop and mobile despite different screen sizes. Key recommendations include resizing videos appropriately for devices, stripping audio from silent videos, avoiding preloading videos that won't be visible, and using streaming with adaptive bitrates to optimize for network conditions and faster start times. The document emphasizes respecting mobile users' data plans.

This document discusses best practices for optimizing video delivery and performance. It notes that video files are large and growing, and can negatively impact mobile data plans. Key recommendations include resizing videos appropriately for different screens, only downloading video that will be displayed, using streaming over file downloads when possible, starting streams at lower bitrates for faster load times, and auditing third party video hosts for performance optimizations. The overall message is the importance of respecting mobile users' limited data plans.

The document discusses best practices for optimizing video delivery and performance on websites. It notes that video files are large and growing, and that many sites download full-quality video files even when they will not be displayed due to screen size. The summary recommends resizing videos appropriately for different screens to save bandwidth, avoiding downloading video that will not be displayed, using streaming formats over file downloads when possible, and starting streaming video at lower bitrates for faster startup times. The document stresses the importance of respecting mobile users' data plans in video delivery optimization.

1) Video file sizes are large and growing, putting strain on mobile networks. It's important to optimize video delivery for different devices and connections. 2) Key best practices for video optimization include resizing videos appropriately for screens, avoiding unnecessary preloading, stripping audio from silent videos, and not duplicating video files across devices. 3) For video streaming, techniques like starting at a lower bitrate and gradually increasing, choosing optimal initial and switching bitrates, and limiting the number of concurrent streams can help improve startup times and prevent stalling.

This document discusses best practices for optimizing video delivery and performance. It notes that video files are large and growing, and can negatively impact bandwidth. Key recommendations include resizing videos appropriately for different screens, only downloading video that will be displayed, using streaming over file downloads, starting streams at lower bitrates for faster startup, and auditing third parties. The overall message is to respect mobile users' data plans when delivering video.

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.

This document discusses best practices for optimizing video delivery and performance on the web. It notes that video files are large and growing, and that 19% of videos are identical on desktop and mobile despite different screen sizes. The key recommendations are to resize videos appropriately for screens by adjusting quality, bitrate, and dimensions while respecting users' data plans, and to use video streaming with adaptive bitrates to optimize startup time and quality. Additional tips include stripping audio from silent videos, avoiding preloading unnecessary videos, and auditing third party video hosts. The overall message is to thoughtfully optimize video delivery to provide a good experience without wasting users' mobile data.

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.

This document discusses best practices for optimizing video delivery and performance. It notes that video files are large and growing, and can negatively impact bandwidth. Key recommendations include resizing videos appropriately for different screens, only downloading video that will be displayed, using streaming over static downloads, starting streams at lower bitrates for faster startup, and auditing third parties. The overall message is the importance of respecting mobile users' data plans when delivering video.

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.

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.

1. Video files are large and consuming more bandwidth as video consumption grows. 2. It is important to optimize video delivery for different devices and connections by resizing videos appropriately, avoiding unnecessary downloads, and choosing optimal streaming bitrates. 3. Best practices for video optimization include resizing videos for specific screens, not downloading hidden or offscreen videos, stripping audio from silent videos, and adjusting streaming parameters for faster start times and smoother playback.

1. Video files are large and consuming more bandwidth as video consumption grows. Many sites deliver identical large video files to desktop and mobile despite different screen sizes. 2. Best practices for video include resizing videos for appropriate screen dimensions and bitrates, avoiding downloading video that won't be displayed, and being judicious with preloading to respect mobile data plans. 3. For video streaming, the manifest file lists available streams, and the player chooses a stream based on estimated bandwidth. It's best to start at a lower bitrate for faster startup, then adapt bitrates to prevent stalls while maintaining quality.

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 best practices for optimizing video delivery on the web. It finds that video consumption is growing rapidly, with many sites now including video content. However, video files tend to be large and slow to load. The document recommends resizing videos appropriately for different screens to reduce file sizes while maintaining quality. It also advises against downloading video files that will not be displayed, such as on mobile screens that are too small. Overall, the key is to optimize video delivery for performance while respecting users' limited data plans.

This document provides an overview of optimizing images and video delivery for mobile websites. It discusses four image optimization techniques: reducing quality to 85%, using formats like WebP and SVG, resizing images responsively, and lazy loading. It also covers optimizing video delivery through techniques like preloading strategically, reducing background video size, using third-party players carefully, and providing multiple bitrate streams in manifest files. The goal is to reduce data usage and delays to improve the mobile user experience.

This document discusses optimizing images and video delivery for mobile websites. It provides 4 simple optimizations for images: quality, format, sizing, and lazy loading. For image quality, it recommends 85% quality for most images. For format, it suggests using webp, svg, and jpeg. For sizing, it discusses using responsive images at different breakpoints. For lazy loading, it notes the performance benefits. It also covers optimizing video delivery through formats, sizing, preloading, and streaming using adaptive bitrates in the manifest file. The goal is to reduce file sizes, speed up loading, and improve the user experience on mobile.

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.

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.

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.

Everything that I found interesting about engineering leadership last month

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 is a slide deck that showcases the updates in Microsoft Copilot for May 2024

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 transcript: 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.

The integration of programming into civil engineering is transforming the industry. We can design complex infrastructure projects and analyse large datasets. Imagine revolutionizing the way we build our cities and infrastructure, all by the power of coding. Programming skills are no longer just a bonus—they’re a game changer in this era. Technology is revolutionizing civil engineering by integrating advanced tools and techniques. Programming allows for the automation of repetitive tasks, enhancing the accuracy of designs, simulations, and analyses. With the advent of artificial intelligence and machine learning, engineers can now predict structural behaviors under various conditions, optimize material usage, and improve project planning.

If you’ve ever had to analyze a map or GPS data, chances are you’ve encountered and even worked with coordinate systems. As historical data continually updates through GPS, understanding coordinate systems is increasingly crucial. However, not everyone knows why they exist or how to effectively use them for data-driven insights. During this webinar, you’ll learn exactly what coordinate systems are and how you can use FME to maintain and transform your data’s coordinate systems in an easy-to-digest way, accurately representing the geographical space that it exists within. During this webinar, you will have the chance to: - Enhance Your Understanding: Gain a clear overview of what coordinate systems are and their value - Learn Practical Applications: Why we need datams and projections, plus units between coordinate systems - Maximize with FME: Understand how FME handles coordinate systems, including a brief summary of the 3 main reprojectors - Custom Coordinate Systems: Learn how to work with FME and coordinate systems beyond what is natively supported - Look Ahead: Gain insights into where FME is headed with coordinate systems in the future Don’t miss the opportunity to improve the value you receive from your coordinate system data, ultimately allowing you to streamline your data analysis and maximize your time. See you there!

Cybersecurity is a major concern in today's connected digital world. Threats to organizations are constantly evolving and have the potential to compromise sensitive information, disrupt operations, and lead to significant financial losses. Traditional cybersecurity techniques often fall short against modern attackers. Therefore, advanced techniques for cyber security analysis and anomaly detection are essential for protecting digital assets. This blog explores these cutting-edge methods, providing a comprehensive overview of their application and importance.

Our Linux Web Hosting plans offer unbeatable performance, security, and scalability, ensuring your website runs smoothly and efficiently. Visit- https://onliveserver.com/linux-web-hosting/

Solar Storms (Geo Magnetic Storms) are the motion of accelerated charged particles in the solar environment with high velocities due to the coronal mass ejection (CME).

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.

An invited talk given by Mark Billinghurst on Research Directions for Cross Reality Interfaces. This was given on July 2nd 2024 as part of the 2024 Summer School on Cross Reality in Hagenberg, Austria (July 1st - 7th)

Are you interested in dipping your toes in the cloud native observability waters, but as an engineer you are not sure where to get started with tracing problems through your microservices and application landscapes on Kubernetes? Then this is the session for you, where we take you on your first steps in an active open-source project that offers a buffet of languages, challenges, and opportunities for getting started with telemetry data. The project is called openTelemetry, but before diving into the specifics, we’ll start with de-mystifying key concepts and terms such as observability, telemetry, instrumentation, cardinality, percentile to lay a foundation. After understanding the nuts and bolts of observability and distributed traces, we’ll explore the openTelemetry community; its Special Interest Groups (SIGs), repositories, and how to become not only an end-user, but possibly a contributor.We will wrap up with an overview of the components in this project, such as the Collector, the OpenTelemetry protocol (OTLP), its APIs, and its SDKs. Attendees will leave with an understanding of key observability concepts, become grounded in distributed tracing terminology, be aware of the components of openTelemetry, and know how to take their first steps to an open-source contribution! Key Takeaways: Open source, vendor neutral instrumentation is an exciting new reality as the industry standardizes on openTelemetry for observability. OpenTelemetry is on a mission to enable effective observability by making high-quality, portable telemetry ubiquitous. The world of observability and monitoring today has a steep learning curve and in order to achieve ubiquity, the project would benefit from growing our contributor community.

This is a powerpoint that features Microsoft Teams Devices and everything that is new including updates to its software and devices for May 2024

Manual Method of Product Research | Helium10 | MBS RETRIEVER

Profile portofolio

Have you noticed the OpenSSF Scorecard badges on the official Dart and Flutter repos? It's Google's way of showing that they care about security. Practices such as pinning dependencies, branch protection, required reviews, continuous integration tests etc. are measured to provide a score and accompanying badge. You can do the same for your projects, and this presentation will show you how, with an emphasis on the unique challenges that come up when working with Dart and Flutter. The session will provide a walkthrough of the steps involved in securing a first repository, and then what it takes to repeat that process across an organization with multiple repos. It will also look at the ongoing maintenance involved once scorecards have been implemented, and how aspects of that maintenance can be better automated to minimize toil.

MuleSoft Meetup on APM and IDP