CIF: Small: Multiterminal Video Coding: From Theory to Practice

CIF：小型：多终端视频编码：从理论到实践

• 批准号: 1216001
• 负责人: Zixiang Xiong
• 金额: $ 14.96万
• 依托单位: Texas A&M Engineering Experiment Station
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1216001&HistoricalAwards=false
• 关键词: CIF; Small; Multiterminal; Video; Coding

Multiterminal (MT) video coding considers the problem of separate compression and joint decompression of multiple correlated video sources. Driven by a host of emerging applications (e.g., in network communications, distributed video sensor networks and camera arrays, and distributed inference), MT video coding has become a very active area of research in the past ten years.This research addresses both the theory of MT source coding and practice of MT video coding, with the aim of using the theory to guide practice. It involves: 1) identifying new classes of problems of quadratic Gaussian MT source coding with tight sum-rate bound or giving sufficient conditions for sum-rate tightness; 2) taking an approximation approach when sum-rate tightness cannot be proved; 3) performing MT source code constructions based on Slepian-Wolf coded quantization for random coding and hybrid random-structured coding; and 4) spearheading the practical application of MT video coding for camera arrays and distributed video sensor networks, with focus on depth camera assisted MT video coding.

多终端（MT）视频编码考虑了多个相关视频源的单独压缩和联合解压缩问题。在大量新兴应用程序的推动下（例如，在网络通信、分布式视频传感器网络和摄像机阵列以及分布式推理等领域中，MT视频编码是近十年来非常活跃的研究领域，本文从MT信源编码的理论和MT视频编码的实践两个方面进行研究，旨在用理论指导实践。它包括：1）识别新的二次高斯MT信源编码问题类，并给出其和速率紧性的充分条件，2）当和速率紧性不能被证明时，采用近似方法，3）基于Slepian-Wolf编码量化，对随机编码和混合随机结构编码进行MT信源编码构造，4）对混合随机结构编码和混合随机结构编码进行MT信源编码构造，5）对混合随机结构编码和混合随机结构编码进行MT信源编码构造。以及4）率先将MT视频编码实际应用于相机阵列和分布式视频传感器网络，重点关注深度相机辅助的MT视频编码。