Abstract
Rate control (RC) optimization is indispensable for scalable video coding (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%. © 2014 IEEE.
Original language | English |
---|---|
Pages (from-to) | 4010-4021 |
Journal | IEEE Transactions on Image Processing |
Volume | 23 |
Issue number | 9 |
DOIs | |
Publication status | Published - Sept 2014 |
Externally published | Yes |
Bibliographical note
The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Joan Serra-Sagrista.Funding
This work was supported in part by the Natural Science Foundation of China under Grant 61272289, Grant 61102088, and Grant 61202242, in part by the City University of Hong Kong Applied Research under Grant 9667094, in part by the Shenzhen Emerging Industries of the Strategic Basic Research Project under Grant JCYJ20120617151719115, in part by the Guangdong Nature Science Foundation under Grant S2012010008457, and in part by the City University of Hong Kong Shenzhen Research Institute, Shenzhen, China.
Keywords
- bargaining game
- bargaining power.
- generalized nash bargaining solution
- rate control
- Spatial scalable video coding