A rt gallery gdgmadrid

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 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.

This document discusses augmented reality (AR) and virtual reality (VR) capabilities in web browsers. It begins with an overview of AR and VR technologies like A-Frame and WebXR for building AR and VR experiences. It then demonstrates various AR and VR demos created with A-Frame, including galleries, art viewing, and using markers for AR. The document concludes with recommendations for optimizing assets like images, 3D models and videos for improved performance of AR and VR experiences in the browser.

The document discusses augmented reality (AR) and virtual reality (VR) capabilities that exist today in web browsers. It describes how AR can be built using markers and the A-Frame framework to place 3D objects. Optimizations for AR/VR applications are suggested like resizing images, optimizing quality and format, using Draco compression for GLTF files. Future AR capabilities using WebXR are previewed. Code examples and links are provided to build an art gallery application using these AR techniques.

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. It then demonstrates how to build an art gallery in VR with A-Frame. Next, it shows how to add AR functionality to the gallery using AR.js by placing 3D objects with markers. The document also covers optimizations needed for AR/VR like reducing image file sizes and using formats like Draco compression. It briefly introduces the emerging WebXR standard and demos an AR art gallery with WebXR. Finally, it discusses conclusions and provides example art assets that can be used to build further experiences.

This document discusses building augmented reality (AR) and virtual reality (VR) experiences in the browser. It begins with an overview of AR and VR technologies available today like A-Frame. It then demonstrates creating a VR art gallery and adding AR functionality using AR.js markers. The document emphasizes optimizations needed for media-heavy AR/VR experiences like resizing images, compression formats, and loading only visible assets. It concludes by discussing the future of AR hitting points in browsers using WebXR and encourages building AR/VR applications.

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.

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.

This document discusses building augmented reality (AR) experiences on the web. It begins by introducing AR frameworks like A-Frame that allow creating AR scenes directly in the browser. Examples are shown of building an online art gallery in VR and AR using A-Frame and AR.js. The document then covers using the emerging WebXR standard to access device sensors for AR. Key optimizations for AR/VR like image compression and format changes are demonstrated to significantly reduce file sizes. In conclusion, the document outlines that AR can currently be developed for the web and performance optimized without large data usage or processing requirements.

There are four main types of galaxies: spiral, elliptical, irregular, and the Milky Way galaxy. Spiral galaxies have glowing arms that rotate around a center and contain both large and small stars. Elliptical galaxies are spherical or ovoid shapes with older, redder stars. Irregular galaxies do not have defined shapes and may have formed through galactic collisions. The Milky Way galaxy is a spiral galaxy that contains our solar system.

Free Microsoft applications demonstrated by Microsoft education team at their Reading Campus on 11th June 2010.

In this month's podcast I discuss some recent news about ebooks and DRM. There's information about smartphone uses, from Pew Internet, and a quick debate about mobile websites versus apps. FourSquare and geosocial services are explained, in brief. A good portion of the show describes SWON's new partnership with Hive13, a hacker/maker space in Cincinnati. What is that? Listen in to find out.

Presentation given at ITSSM.com's software dev best practices workshop. Focus on risks of SD and how Agile best addresses them, followed by instructions for learning game to teach Scrum.

The document discusses optimizing images and video for faster load times and reduced data usage on mobile websites. It recommends using Scalable Vector Graphics (SVG) for vector images, lossy compression for raster images at 85% quality, WebP format, responsive images sized for different breakpoints, lazy loading images below the fold, and replacing animated GIFs with MP4 videos for smaller file sizes. Open source tools discussed include ImageMagick, Cloudinary, and LazySizes for implementing these optimizations.

Presentation on designing for cross channel holistic customer experiences for Web 2.0 Expo, San Francisco

This document summarizes techniques for optimizing image delivery on mobile websites. It discusses 4 key optimizations: adjusting image quality, choosing optimal file formats like WebP, sizing images responsively, and lazy loading images below the fold. The document shows that these techniques can significantly reduce image file sizes and page load times based on analyses of 500,000 mobile sites. Specific tools are recommended for automating quality adjustments, format conversion, and responsive image breakpoint generation. Lazy loading is shown to improve user experience by deferring loading of off-screen images. Overall, the techniques can help images remain fast to load while retaining high quality for modern responsive delivery.

Our presentation for the May 5th Ignite event at Lisbon, dedicated to Portuguese technology. http://igniteportugal.blogspot.com/2010/05/programa-ignite-portugal-tecnologico.html

This document discusses optimizing images for fast page loads on mobile websites. It outlines four simple image optimizations: 1) reducing image quality to 85%, 2) using optimized formats like WebP and SVG, 3) sizing images appropriately for different screen sizes through responsive images, and 4) lazy loading images below the fold. The document provides examples and data showing how these techniques can significantly reduce page load times and data usage. It encourages testing optimizations using tools like WebPageTest and analyzing real-world usage from the HTTP Archive.

This document discusses techniques for optimizing image delivery on websites for faster performance. It outlines four simple optimizations: adjusting image quality, choosing optimal file formats like WebP and SVG, sizing images responsively, and lazy loading images below the fold. The document shows how these techniques can significantly reduce image file sizes and page load times based on analyzing 500,000 mobile websites. Common tools for implementing the optimizations are also presented.

The document provides information about augmented reality and Project Tango. It begins with definitions and examples of augmented reality, explaining the basic concepts and contexts involved. It then discusses Project Tango in more detail, describing its motion tracking, depth sensing, area learning and indoor navigation capabilities. The document also covers getting started with Project Tango development using the Java API and integrating it with the Rajawali 3D engine.

The virtual science experiment may soon be possible. 360˚ cameras are now readily available. Augmented reality, 360˚ scenes and VR combine to create mixed Realities (MR) in science.

This document discusses techniques for optimizing image delivery to make it fast, free and beautiful. It outlines four simple image optimizations: 1) reducing image quality, 2) using optimized formats like WebP and SVG, 3) sizing images appropriately, and 4) lazy loading images. It provides examples of how to implement each optimization using tools like ImageMagick, Cloudinary, and responsive breakpoints generators. Analysis of 500,000 mobile sites shows the widespread impact of these optimizations on page load times and data usage. The document encourages testing optimizations and sharing results to win an Amazon gift card.

This document discusses optimizing images for fast delivery on websites. It outlines four simple image optimizations: quality, format, sizing, and lazy loading. For each optimization, it provides examples and data on typical file size savings. It analyzes real-world usage of the optimizations across 500,000 mobile sites. The document encourages testing optimizations using tools like WebPageTest and analyzing trends using HttpArchive. Overall, it promotes delivering beautiful yet fast images through techniques like responsive images and lazy loading.

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.

AR + VR = MR (Mixed Reality) This workshop will explore the learning possibilities of augmented reality, virtual reality and 360 ̊ video. Participants are encouraged to bring their own smartphone/tablet to view examples for themselves. There are dozens of AR apps, a few 'really good' VR experiences and 360 ̊ has recently been supported by YouTube, Facebook and VIMEO. An outline of how the technologies are converging and how to provide the tools to students to encourage them to demonstrate their understanding. Too many examples while 'clever' are passive watching of a video, the WOW! wears off quickly with repetition..

This document provides a collection of web tools and resources for the classroom, including links to Flickr photo galleries of classroom practices, a video about digital generation projects from Edutopia, and links to blogs and websites about digital storytelling, fashion design projects, and an "eyeplorer" tool. It encourages teachers to observe, experiment with, and remix their classroom practices, and provides contact information for the author.

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 discusses optimizing images for fast delivery on mobile websites. It recommends four simple optimizations: 1) reducing image quality to 85%, 2) using WebP format, 3) generating responsive image sizes, and 4) implementing lazy loading. The document provides details on implementing each optimization and cites research analyzing their impacts. It finds that applying these optimizations can significantly reduce page load times and data usage. Overall, the document advocates that with the right optimizations, images can be both beautiful and fast loading.

The document discusses developing for mobile web. It covers several topics including physical properties of mobile devices, their network usage and power constraints. It also discusses different versions of Gmail optimized for different devices. The document recommends inlining content, deferring non-essential work, and being creative with JavaScript libraries and debugging to improve performance for mobile. It highlights the ability of web technologies to build cross-device applications quickly without native restrictions. The conclusion is that native languages may be better if writing many device plugins, but web technologies can be effective otherwise.

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.

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.

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.

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.

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.

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 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.

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.