Complexity/performance trade-offs for robust distributed video coding

In this work, we analytically study the complexity-performance trade-offs associated with video codecs based on the principle of source coding with side information at the decoder. We address three important aspects. First, we quantify the theoretical performance gains attained with side-information based codecs over prediction-based coders like MPEG under a lossy transmission scenario when there is drift. Secondly, we show that it is possible to closely approach MPEG's compression performance using sideinformation video coding principles with accurate DFD (Displaced Frame Difference) modeling even without sophisticated channel codes. Thirdly, we analytically show that the value of accurately estimating DFD statistics diminishes as the channel gets noisier.

• Type: Conference
• Year: 2005
• Where: ICIP
• Authors: Abhik Majumdar, Rohit Puri, Prakash Ishwar, Kannan Ramchandran
• Keywords: Accurate Dfd, ICIP 2005, Image Processing, Lossy Transmission Scenario, Side-information Based Codecs, Sophisticated Channel Codes, Video Coding Principles