標題: Multiple adaptations and content-adaptive FEC using parameterized RD model for embedded wavelet video
作者: Yu, Ya-Huei
Ho, Chien-Peng
Tsai, Chun-Jen
資訊工程學系
Department of Computer Science
公開日期: 2007
摘要: Scalable video coding ( SVC) has been an active research topic for the past decade. In the past, most SVC technologies were based on a coarse-granularity scalable model which puts many scalability constraints on the encoded bitstreams. As a result, the application scenario of adapting a preencoded bitstream multiple times along the distribution chain has not been seriously investigated before. In this paper, a model-based multiple-adaptation framework based on a wavelet video codec, MC-EZBC, is proposed. The proposed technology allows multiple adaptations on both the video data and the content-adaptive FEC protection codes. For multiple adaptations of video data, rate-distortion information must be embedded within the video bitstream in order to allow rate-distortion optimized operations for each adaptation. Experimental results show that the proposed method reduces the amount of side information by more than 50% on average when compared to the existing technique. It also reduces the number of iterations required to perform the tier-2 entropy coding by more than 64% on average. In addition, due to the nondiscrete nature of the rate-distortion model, the proposed framework also enables multiple adaptations of content-adaptive FEC protection scheme for more flexible error-resilient transmission of bitstreams. Copyright (c) 2007 Ya-Huei Yu et al.
URI: http://hdl.handle.net/11536/11374
http://dx.doi.org/10.1155/2007/70914
ISSN: 1687-6172
DOI: 10.1155/2007/70914
期刊: EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING
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