Paper Info
Title
Spatial-frequency HEVC multiple description video coding with adaptive perceptual redundancy allocation
Abstract
Multiple description coding (MDC) approaches improve the error-resilient performance of video transmission by introducing redundancy. The existing multiple description video coding (MDVC) schemes are rarely designed for particular coding structure of HEVC, and the characteristics of the human visual system (HVS) are seldom considered. In this paper, a spatial-frequency multiple description video coding with adaptive perceptual redundancy allocation framework, named SF-PMDVC, is proposed for HEVC. For descriptions generation, after polyphase down-sampling in spatial domain, a transformation based on integer discrete cosine transform (DCT) is expended to adapt to the flexible coding unit partitioning process in HEVC, and the frequency coefficients are segmented and mapped to reduce the bitrate of each description. To further improve the performance of MDVC, an adaptive perceptual redundancy allocation strategy based on visual saliency is proposed, which improves the coding efficiency adapting to the visual perception. Experimental results show that the proposed scheme improves the error resiliency of HEVC by achieving superior objective and subjective reconstructed video quality as compared to the state-of-the-art MDVC methods for HEVC.
Year
DOI
Venue
2022
10.1016/j.jvcir.2022.103614
Journal of Visual Communication and Image Representation
Keywords
DocType
Volume
Multiple description coding,High efficiency video coding (HEVC),Human visual system,Error resilience
Journal
88
ISSN
Citations 
PageRank 
1047-3203
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Feifeng Wang100.34
Jing Chen28810.64
Huanqiang Zeng339536.94
Canhui Cai4203.06