Single pass dependent bit allocation for spatial scalability coding of H.264/SVC. Atta, R., Abdel-Kader, R. F., & Abd-AlRahem, A. In *2014 22nd European Signal Processing Conference (EUSIPCO)*, pages 251-255, Sep., 2014.

Paper abstract bibtex

Paper abstract bibtex

This paper investigates the problem of bit allocation for spatial scalability coding of H.264/SVC. Little prior work deal with the H.264/SVC bit allocation problem considering the correlation between the enhancement and base layers. Nevertheless, most of the bit allocation algorithms suffer from high computational complexity which grows significantly with the number of layers. In this paper, a single-pass spatial layer bit allocation algorithm, based on dependent Rate-Distortion modeling is proposed. In this algorithm, the R-D model parameters are adaptively updated during the coding process. Experimental results demonstrate that the proposed algorithm achieves a significant improvement in the coding gain as compared to the multi-pass model-based algorithm and the Joint Scalable Video Model reference software algorithm.

@InProceedings{6952029, author = {R. Atta and R. F. Abdel-Kader and A. Abd-AlRahem}, booktitle = {2014 22nd European Signal Processing Conference (EUSIPCO)}, title = {Single pass dependent bit allocation for spatial scalability coding of H.264/SVC}, year = {2014}, pages = {251-255}, abstract = {This paper investigates the problem of bit allocation for spatial scalability coding of H.264/SVC. Little prior work deal with the H.264/SVC bit allocation problem considering the correlation between the enhancement and base layers. Nevertheless, most of the bit allocation algorithms suffer from high computational complexity which grows significantly with the number of layers. In this paper, a single-pass spatial layer bit allocation algorithm, based on dependent Rate-Distortion modeling is proposed. In this algorithm, the R-D model parameters are adaptively updated during the coding process. Experimental results demonstrate that the proposed algorithm achieves a significant improvement in the coding gain as compared to the multi-pass model-based algorithm and the Joint Scalable Video Model reference software algorithm.}, keywords = {computational complexity;correlation methods;video coding;H.264 spatial scalability coding;SVC spatial scalability coding;correlation method;computational complexity;single pass spatial layer bit allocation algorithm;rate-distortion model;R-D model parameter;scalable video coding;Bit rate;Encoding;Adaptation models;Static VAr compensators;Video coding;Computational modeling;Mathematical model;Dependent R-D models;bit allocation;H.264/scalable video coding (SVC);spatial scalability}, issn = {2076-1465}, month = {Sep.}, url = {https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569919819.pdf}, }

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