Rate control (RC) optimization is indispensable for scalablevideocoding (SVC) with respect to bitstream storage and video streaming usage. From the perspective of centralized resource allocation optimization, the in...
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Rate control (RC) optimization is indispensable for scalablevideocoding (SVC) with respect to bitstream storage and video streaming usage. From the perspective of centralized resource allocation optimization, the inner-layer bit allocation problem is similar to the bargaining problem. Therefore, bargaining game theory can be employed to improve the RC performance for spatial SVC. In this paper, we propose a bargaining game-based one-pass RC scheme for spatial H.264/SVC. In each spatial layer, the encoding constraints, such as bit rates, buffer size are jointly modeled as resources in the inner-layer bit allocation bargaining game. The modified rate-distortion model incorporated with the inter-layer coding information is investigated. Then, the generalized nash bargaining solution (NBS) is employed to achieve an optimal bit allocation solution. The bandwidth is allocated to the frames from the generalized NBS adaptively based on their own bargaining powers. Experimental results demonstrate that the proposed RC algorithm achieves appealing image quality improvement and buffer smoothness. The average mismatch of our proposed algorithm is within the range of 0.19%-2.63%.
Multimedia applications are ubiquitous in daily life. To satisfy multiple requests equipped with different devices and bandwidths, scalablevideocoding has been developed. However, it is difficult to realise spatial ...
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Multimedia applications are ubiquitous in daily life. To satisfy multiple requests equipped with different devices and bandwidths, scalablevideocoding has been developed. However, it is difficult to realise spatial and quality scalabilities in practice owing to the increased coding complexity brought by inter-layer prediction. A novel fast mode decision algorithm for spatial scalable video coding is proposed in which macroblock modes in the base layer and the enhancement layer are predicted from each other. The experimental results show that the proposed algorithm provides up to 74% of time saving with ignorable quality degradation and acceptable bit rate increase.
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