Paper
24 October 2005 Efficient entropy coding for scalable video coding
Author Affiliations +
Proceedings Volume 6015, Multimedia Systems and Applications VIII; 60151L (2005) https://doi.org/10.1117/12.631922
Event: Optics East 2005, 2005, Boston, MA, United States
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.
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Woong Il Choi, Jungyoup Yang, and Byeungwoo Jeon "Efficient entropy coding for scalable video coding", Proc. SPIE 6015, Multimedia Systems and Applications VIII, 60151L (24 October 2005); https://doi.org/10.1117/12.631922
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KEYWORDS
Scalable video coding

Binary data

Statistical modeling

Video

Signal to noise ratio

Video coding

Computer programming

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