Open AccessError‐Resilient Multi‐view Video Coding Based on End‐to‐End Rate‐Distortion Optimization
Author(s) -
Gao Pan,
Peng Qiang,
Wang Qionghua
Publication year - 2016
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2016.03.013
Subject(s) - computer science , rate–distortion optimization , coding (social sciences) , network packet , video quality , distortion (music) , real time computing , end to end principle , algorithm , multiview video coding , artificial intelligence , video tracking , video processing , computer network , mathematics , bandwidth (computing) , statistics , metric (unit) , amplifier , operations management , economics
Video transmission over packet‐switched networks usually suffers from packet losses. The use of the prediction loop in video coding will cause these errors to propagate to subsequent frames, and thus significantly impacts on the received video quality. With the increasing number of cameras to capture the scene, robustly delivering multi‐view video over error‐prone channels becomes a rather challenging task. A rate‐distortion optimization algorithm is proposed to improve error resilience for multi‐view video transmission. A recursive model to estimate the end‐to‐end distortion is developed for multiview video coding, in which the distortion model explicitly takes into consideration the inherent error resilience property of the hierarchical bi‐prediction structure. Based on the proposed distortion model, end‐to‐end rate‐distortion optimization criterion is employed to perform coding mode switching. Extensive experimental results demonstrate significant performance gains can be achieved for multi‐view video communication against transmission errors.