Two-dimensional channel coding for scalable H.264/AVC video

Maani, Ehsan; Katsaggelos, Aggelos K.

doi:10.1109/pcs.2009.5167377

Cited by 1 publication

(2 citation statements)

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“…A low complex UEP method using Reed-Solomon codes for SVC is proposed in [11]. Twodimensional channel coding was proposed in [14] which relies on accurate estimation of overall distortion of the reconstructed frames and requires much computation for optimization. Recently, a new JSCC scheme has been proposed in [13], which minimizes the endto-end distortion for the transmission of SVC streams over packet loss channels.…”

Section: Introductionmentioning

confidence: 99%

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Joint Source/Channel Coding Based on Two-Dimensional Optimization for Scalable H.264/AVC Video

Li¹,

Zhou²,

Liu³

2011

ETRI J

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The scalable extension of the H.264/AVC video coding standard (SVC) demonstrates superb adaptability in video communications. Joint source and channel coding (JSCC) has been shown to be very effective for such scalable video consisting of parts of different significance. In this paper, a new JSCC scheme for SVC transmission over packet loss channels is proposed which performs two‐dimensional optimization on the quality layers of each frame in a rate‐distortion (R‐D) sense as well as on the temporal hierarchical structure of frames under dependency constraints. To compute the end‐to‐end R‐D points of a frame, a novel reduced trellis algorithm is developed with a significant reduction of complexity from the existing Viterbi‐based algorithm. The R‐D points of frames are sorted under the hierarchical dependency constraints and optimal JSCC solution is obtained in terms of the best R‐D performance. Experimental results show that our scheme outperforms the existing scheme of [13] with average quality gains of 0.26 dB and 0.22 dB for progressive and non‐progressive modes respectively.

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Section: Introductionmentioning

confidence: 99%

“…As the scheme ignores the dependency constraints in temporal structure, it results in performance degradation. Twodimensional channel coding was proposed in [14] which relies on accurate estimation of overall distortion of the reconstructed frames and requires much computation for optimization.…”

Section: Introductionmentioning

confidence: 99%