Workshop and Challenge on Learned Image Compressio (CLIC 2020)

Jun 15, 2020 - Jun 15, 2020 — Seattle, United States

Scope & Topics

Workshop and Challenge on Learned Image Compressio (CLIC 2020)ThisOur workshop aims to gather publications which will advance the field of image and video compression using state of the art machine learning and computer vision techniques. Even with the long history of signal-processing oriented compression, taking new approaches to image processing have great potential, due to the proliferation of high-resolution cell-phone images and special hardware (e.g., GPUs and mobile AI accelerators). The potential in this area has already been demonstrated using recurrent neural networks, convolutional neural networks, and adversarial learning, many of these matching the best image-compression standards when measured on perceptual metrics. As such, we are interested in the various techniques associated with this class of methods. Broadly speaking, we would like to encourage the development of novel encoder/decoder architectures, novel ways to control information flow between the encoder and the decoder, novel optimization objectives for improved perceptual quality and learn how to quantize (or learn to quantize) better.

• Lossy image compression
• Quantization (learning to quantize; dealing with quantization in optimization)
• Entropy minimization
• Image super-resolution for compression

Submission of Papers

Paper Submission All submissions will be handled electronically via the workshop's CMT Website. All authors must agree to the policies stipulated below. The submission deadline is X and will not be changed. Papers are limited to four pages, including figures and tables, in the CVPR style. Additional pages containing only cited references are allowed. Please refer to the following files for detailed formatting instructions:Example submission paper with detailed instructions: egworkshop_paper_for_review.pdf LaTeX Templates: clic2019AuthorKitLaTeX.zip 2.Submit Via email directly to: isoci@iased.org

Important Dates