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lecture: The JPEG is dead! Long live the JPEG!

A tour de force of major developments in open source image optimization


A JPEG is a JPEG and nothing changed since 1992? Think again! Automated compression quality detection, advanced dithering algorithms, saliency mapping and computer vision - get a glimpse at what the image optimization open source community has been up to!

Any website on the planet is 62% pure image data. We use images to convey emotion, elicit an action or simply to amuse our peers. They show holiday photos, pie charts or animated cats.

To the unitiated, nothing much has changed since the JPEG file format was standardized in 1992 and GIFs became capable of showing multiple frames of cat mischief.

But under the hood, the complex realm of raster and vector images is ever changing: new encoders use cues from the fields of computer vision and machine learning to optimize image data, old formats learn new tricks and completely new image formats try to take the stage.

Many of these developments are possible thanks to open source software: only enhancements that are open and can be thoroughly tested can be accepted into browsers and image manipulation libraries.

In this talk, we will embark on a tour de force of all major developments in image optimization, bringing attendees up to speed on which encoders and libraries to keep an eye on and where to contribute.