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Proceedings Paper

Efficient entropy coding for scalable video coding
Author(s): Woong Il Choi; Jungyoup Yang; Byeungwoo Jeon
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Paper Abstract

The standardization for the scalable extension of H.264 has called for additional functionality based on H.264 standard to support the combined spatio-temporal and SNR scalability. For the entropy coding of H.264 scalable extension, Context-based Adaptive Binary Arithmetic Coding (CABAC) scheme is considered so far. In this paper, we present a new context modeling scheme by using inter layer correlation between the syntax elements. As a result, it improves coding efficiency of entropy coding in H.264 scalable extension. In simulation results of applying the proposed scheme to encoding the syntax element mb_type, it is shown that improvement in coding efficiency of the proposed method is up to 16% in terms of bit saving due to estimation of more adequate probability model.

Paper Details

Date Published: 24 October 2005
PDF: 9 pages
Proc. SPIE 6015, Multimedia Systems and Applications VIII, 60151L (24 October 2005); doi: 10.1117/12.631922
Show Author Affiliations
Woong Il Choi, Sungkyunkwan Univ. (South Korea)
Jungyoup Yang, Sungkyunkwan Univ. (South Korea)
Byeungwoo Jeon, Sungkyunkwan Univ. (South Korea)


Published in SPIE Proceedings Vol. 6015:
Multimedia Systems and Applications VIII
Anthony Vetro; Chang Wen Chen; C.-C. J. Kuo; Tong Zhang; Qi Tian; John R. Smith, Editor(s)

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