Multiple Description Coding for Multi-view Video

Chen, Jing; Cai, Canhui; Wang, Xiaolan; Zeng, Huanqiang; Ma, Kai-Kuang

doi:10.1007/978-3-319-25903-1_75

Cited by 2 publications

(1 citation statement)

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“…In [48], a novel coding scheme has been proposed for video sequences based on the spatial-temporal masking characteristics of human visual system. In [49], the multiview sequence is spatial polyphase subsampled and "cross-interleaved" sampling grouped to generate two subsequences, and an MDC scheme is proposed which directly reuses the computed modes and prediction vectors of one subsequence to the other one. This work is extended in [50], where one subsequence is directly coded by joint multiview video coding (JMVC) encoder, and the other subsequence selectively chooses the prediction mode and the prediction vector of the coded subsequence to improve the rate-distortion performance.…”

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confidence: 99%

Predictive side decoding for human-centered multiple description image coding

2020

J Wireless Com Network

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Multiple description coding (MDC) provides a favorable solution for human-centered image communication, which takes into account people's varying watching situations as well as people's demand for real-time image display. As an effective technique for MDC, three-description lattice vector quantization (3D-LVQ) is considered for image coding in this paper. Based on intra-and inter-correlation in the 3D-LVQ index assignment as well as wavelet intra-subband correlation, a novel predictive decoding method for 3D-LVQ-based image coding is proposed to enhance side decoding performance, which attempts to predict lost descriptions (sublattice points) in a good way for better reconstructions of wavelet vectors (fine lattice points) in the side decoding. Experimental results validate effectiveness of the proposed decoding scheme in terms of rate-distortion performance.

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confidence: 99%