Information-theoretic research of video coding: theory and algorithms

视频编码的信息论研究：理论与算法

• 批准号: 203035-2011
• 负责人: Yang, EnHui
• 金额: $ 5.03万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=569847
• 关键词: Information; theoretic; research; video; coding

Video communications is a major area of growth in engineering today and in the future. Just look at the growing popularity of Internet TV, Internet video conferencing, and mobile video. A key problem in video communications, however, is the conflict between the growing data volume of video and the increasing shortage of bandwidth. This is particularly true in wireless video communications. Indeed, with the growing popularity of wireless video and the proliferation of high definition TV and other emerging new video applications, the bandwidth shortage becomes increasingly severe to the extent that it is regarded as an issue meriting our national attention. As such, there is strong demand for better video coding technologies which can improve compression efficiency significantly while providing other green features such as low complexity (hence low encoding and decoding power consumption) and scalability. Existing video coding standards are all based on the framework of predictive DCT-based video coding. Compression performance gains of these standards over their predecessors come largely from the improvements in their signal processing components---prediction/compensation and reconstruction filtering. Although one cannot rule out the possibility of further gains from this direction, it is certain that such gains, if any, are diminishing for given frame sizes and would come at extreme high computation complexity. Therefore, it is imperative to explore new directions and develop game-changing approaches to future generations of video coding. Building on our early success in both lossless and lossy compression and in developing information theoretic (IT) ideas and algorithms for image and video coding, in this research, we will investigate and explore game-changing approaches to video coding systematically from the IT point of view by proposing new advanced video coding frameworks, developing their respective information theory, and designing new efficient video coding algorithms.

视频通信是当今和未来工程发展的主要领域。看看互联网电视、互联网视频会议和移动视频的日益普及就知道了。然而，视频通信的一个关键问题是视频数据量的增长与带宽日益短缺之间的矛盾。在无线视频通信中尤其如此。确实，随着无线视频的日益普及和高清电视等新兴视频应用的普及，带宽短缺问题日益严重，已成为值得全国关注的问题。因此，人们强烈需要更好的视频编码技术，这些技术可以显着提高压缩效率，同时提供其他绿色特性，例如低复杂性（因此编码和解码功耗低）和可扩展性。 现有的视频编码标准都是基于基于预测DCT的视频编码的框架。这些标准相对于其前身的压缩性能提升主要来自于信号处理组件的改进——预测/补偿和重建滤波。尽管不能排除从这一方向获得进一步收益的可能性，但可以肯定的是，这种收益（如果有的话）对于给定的帧大小来说正在减少，并且会带来极高的计算复杂性。因此，当务之急是探索新的方向并开发未来几代视频编码的改变游戏规则的方法。 基于我们在无损和有损压缩以及开发图像和视频编码的信息论 (IT) 思想和算法方面的早期成功，在这项研究中，我们将从 IT 角度系统地研究和探索改变游戏规则的视频编码方法。通过提出新的先进视频编码框架，发展各自的信息理论，并设计新的高效视频编码算法。