![]() ![]() The datasets are collected to be representative for images commonly used in the wild, containing thousands of images. Training set of 1,633 uncompressed images from both the Mobile and Professional datasets, available on Ī database of copyright-free, high-quality images will be made available both for this challenge and in an effort to accelerate research in this area: Dataset P (“professional”) and Dataset M (“mobile”). Our invited speakers include image and video compression experts Jim Bankoski (Google) and Jens Ohm (RWTH Aachen University), as well as computer vision and machine learning experts with experience in video and image compression, Oren Rippel (WaveOne) and Ramin Zabih (Google, on leave from Cornell). The workshop will bring together established contributors to traditional image compression with early contributors to the emerging field of learning-based image compression systems. To encourage progress in this field, Google, in collaboration with ETH and Twitter, is sponsoring the Workshop and Challenge on Learned Image Compression (CLIC) at the upcoming 2018 Computer Vision and Pattern Recognition conference ( CVPR 2018). Multiple recent Google projects improve the field of image compression with end-to-end with machine learning, compression through superresolution and creating perceptually improved JPEG images, but we believe that even greater improvements to image compression can be obtained by bringing this research challenge to the attention of the larger machine learning community. While the signal-processing community has significantly improved image compression beyond JPEG (which was introduced in the 1980’s) with modern image codecs (e.g., BPG, WebP), many of the techniques used in these modern codecs still use the same family of pixel transforms as are used in JPEG. Image compression is critical to digital photography - without it, a 12 megapixel image would take 36 megabytes of storage, making most websites prohibitively large. Posted by Michele Covell, Research Scientist, Google ResearchĮdit : Due to popular request, the CLIC competition submission deadline has been extended to April 22. ![]()
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