2nd JPEG Pleno Workshop on Learning-Based Light Field Coding Proceedings
Light field coding has been extensively researched in the last few years. A wide range of light field coding solutions have been proposed, from well-known, off-the-shelf standard codecs, to those specially designed for light field data. These methods aim to exploit the huge amount of redundant information about the light rays in the same scene that convey angular and spatial information. To achieve compression performance, a light field compression method needs to characterize the relationship among a number of viewpoints, as well as the spatial correlation within the views. Learning-based approaches present advantages to solve complex tasks.
The scope of the JPEG Pleno Light field learning-based coding activity is the creation of a learning-based coding standard for light field targeting competitive compression efficiency compared to state-of-the-art light field coding solutions and supporting a royalty-free baseline. To this end, the purpose of this second workshop was to exchange experiences, to present technological advances and research results on learning-based coding solutions for light field data.
- 13:00-13:10 UTC - Welcome & Introduction (Peter Schelkens, Carla Pagliari and Saeed Mahmoudpour)
- 13:10-13:35 UTC - Preliminary exploration on explicit or implicit learning-based Light Field Coding (Zhibo Chen, University of Science and Technology of China)
- 13:35-14:00 UTC - Light Field Compression by View Synthesis (Junhui Hou, City University of Hong Kong)
- 14:00-14:25 UTC - AI-Assisted Light Field Depth Estimation and Compression (Xinjue Hu, University of Ottawa, Canada, and Beijing University of Posts and Telecommunications, China, Shervin Shirmohammadi, University of Ottawa, Canada, Lin Zhang, Beijing Big Data Center and Beijing University of Posts and Telecommunications, China)
The presentations presented during the workshop are available for download here.
2nd JPEG Pleno Workshop on Learning-Based Light Field Coding Proceedings, ISO/IEC JTC1/SC29/WG1, wg1n100308, Online, September 21st, 2022.
Interested parties are invited to join the JPEG Pleno Light Field mailing list and regularly consult the JPEG.org website for the latest news.