With images making up a whopping 65% of all web content, page load time on websites can easily become an issue. Even when properly optimized, images can weigh quite a bit. This can have a negative impact on the time visitors have to wait before they can access content on your website. Chances are, they get impatient and navigate somewhere else, unless you come up with a solution to image loading that doesn’t interfere with the perception of speed.
I'm probably a bit rare in that I rather enjoyed trying to keep up on the responsive images thing. It's an interesting problem that bred lots of interesting solutions. The whole thing is starting to wrap up now though, now that the official solutions are:and friends with srcset and sizes The problem is: I don't really get it. I thought the original picturefill was pretty simple. List a bunch of sources with media queries. First one to match, that's the one that gets used. That made sense to me. This new stuff is a bit different. Solvable problem! Just like everything else, I need to figure it out.
Last sunday I sat down on my couch, got comfy and started reading up on the new srcset and sizes syntax. I wanted to understand it and then starting to use it now with the awesome picture/srcset/sizes polyfill picturefill 2.
Stephan Lavavej has a great page outlining the difference between fancy interlacing and plain old progressive rendering: There are four ways to transmit an image over the Internet. Over a fast connection there won't be any apparent difference, but over a modem connection the difference is stunningly obvious. Choosing the right way can make your connection seem much faster than it really is. Wait until every bit of image data has been sucked through the modem before displaying the whole image. So blindingly dumb that not even Internet Explorer does it. Display image data as it is received, resulting in a top-down filling in of the image. One variant -- the one that everyone has seen -- of JPEG does this. This is noninterlaced display, and both GIF and PNG are capable of it as well. Non-interlaced images are smaller than interlaced images. Use a one-dimensional interlacing scheme. This is how GIF interlacing works. Every eighth horizontal line is transmitted in the first "pass", filling up the dimensions of the image in 1/8th of the time that the entire image will take to download. The next pass transmits every fourth line, making the image less distorted. The next pass transmits every second line, making the image even less distorted, and the fourth and final pass transmits the remaining lines. Use a two-dimensional interlacing scheme. This is how PNG interlacing works. Instead of four passes through the image, PNG makes seven passes. In 1/64 of the time that the whole image will take to display, one pass is already completed, showing the image in a very rough manner. Successive passes fill in more information, never distorting the pixels by more than a factor of two to one. Here's a demo of simple progressive as-received rendering: And here's a demo of the superior PNG style two-dimensional interlaced rendering: You don't get this for free, of course -- turning this feature on adds about 20% to the size of PNG images, and about 10% to the size of JPEG and GIF images. Whether this improved rendering behavior is worth the bandwidth cost I leave as an exercise to the reader. I am not aware of any browsers that actually bilinearly interpolate the low-resolution incremental images, as shown in the sample screenshots on Stefan's page. But that would be really cool! Why doesn't Firefox add this? NEXT This Just In: Internet Makes Books Obsolete PREVIOUS UI Follies, Volume III Written by Jeff Atwood Indoor enthusiast. Co-founder of Stack Overflow and Discourse. Disclaimer: I have no idea what I'm talking about. Find me here: http://twitter.com/codinghorror
Whether your web application supports user uploaded images, you deliver static images, or you display profile pictures from social networks, you probably need to manipulate them to fit the graphic design of your Web site or mobile application.Cloudinary allows you to easily transform your images on-the-fly to any required format, style and dimension, and also optimizes images for minimal file size alongside high visual quality for an improved user experience and minimal bandwidth. You can do all of this by implementing dynamic image transformation and delivery URLs. You can change the required transformations at any time. All transformed images are created on-demand (lazily) and delivered to your users through a fast CDN with optimized caching.For example, you can resize and crop images, deliver them using the image format that fits your needs, and/or apply a variety of filters and effects. You can also use our smart cropping techniques, including face-detection or auto-gravity for cropping based on the most relevant parts of uploaded photos. For complex transformations, you can use the Management Console or Admin API for defining named transformations and even run a set of chained transformations on your images. You can also use the Management Console to view delivery usage reports and optimization insights.This page teaches you how Cloudinary transformations work and provides detailed descriptions and use‑case examples for commonly-used transformations.
One image for all screen resolutions and different devices is not enough. An image per pixel is too much - so how can someone automatically choose the optimal responsive image sizes?
The Fastly Image Optimizer is a real-time image manipulation and optimization service that drastically speeds up image delivery by serving pixel perfect, bandwidth efficient images to internet users, whatever device they are using.
ImageNet is an image database organized according to the WordNet hierarchy (currently only the nouns), in which each node of the hierarchy is depicted by hundreds and thousands of images. Currently we have an average of over five hundred images per node. We hope ImageNet will become a useful resource for researchers, educators, students and all of you who share our passion for pictures.Click here to learn more about ImageNet, Click here to join the ImageNet mailing list.