JOURNAL ARTICLE

Error Resilient Video Coding Using Redundant Pictures

Chunbo ZhuYe-Kui WangMiska M. HannukselaHouqiang Li

Year: 2008 Journal:   IEEE Transactions on Circuits and Systems for Video Technology Vol: 19 (1)Pages: 3-14   Publisher: Institute of Electrical and Electronics Engineers

Abstract

This paper presents several error resilient video coding methods based on redundant pictures. We combine redundant picture coding with reference picture selection and reference picture list reordering to prevent error propagation in motion compensated video coding. A hierarchical redundant picture allocation method is employed to make a tradeoff between error resilience and coding efficiency. For improved end-to-end rate-distortion performance in packet loss environment, three adaptive redundant picture allocation methods are further developed, utilizing characteristics of the input video content. Simulation results show that the adaptive redundant picture coding methods can achieve average luma peak-signal-to-noise improvements up to 3.5 dB compared to the loss-aware rate distortion optimized intra macroblock refresh algorithm implemented in the H.264/AVC Joint Model (JM). The proposed redundant picture coding methods are standard-compliant and do not introduce any additional end-to-end delay, therefore suit for low-delay applications such as video telephony and video conferencing. Due to the good error resilience performance, some of the proposed redundant picture coding methods have been adopted and integrated into the JM.

Keywords:
Computer science Coding tree unit Macroblock Motion compensation Coding (social sciences) Multiview Video Coding Real-time computing Algorithmic efficiency Context-adaptive binary arithmetic coding Scalable Video Coding Algorithm Decoding methods Computer vision Video tracking Data compression Video processing

Metrics

39
Cited By
6.03
FWCI (Field Weighted Citation Impact)
17
Refs
0.97
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Video Coding and Compression Technologies
Physical Sciences →  Computer Science →  Signal Processing
Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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