A novel rate control algorithm for video coding based on fuzzy-PID controller

Hou, Yonghong and Wang, Pichao and Xiang, Wei and Gao, Zhimin and Hou, Chunping (2015) A novel rate control algorithm for video coding based on fuzzy-PID controller. Signal, Image and Video Processing , 9 (4). pp. 875-884. ISSN 1863-1703

Abstract

Rate control algorithms (RCAs) aim to achieve the best visual quality under the minimum bit rate and the limited buffer size. A self-parameter-tuning fuzzy-PID controller is proposed to reduce the deviation between the target buffer level and the current buffer fullness. Fuzzy logic is used to tune each parameter of the proportional-integral-derivative controller by selecting appropriate fuzzy rules through simulation in H.264/advanced video coding (AVC). To control the quality fluctuation between consecutive frames, a quality controller is adopted. The proposed RCA has been implemented in an H.264/AVC video codec, and our experimental results show that the proposed algorithm achieves smooth target bits while enabling better buffer control and visual quality.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to Published version due to publisher copyright policy.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering
Date Deposited: 26 Jul 2013 01:42
Last Modified: 31 Mar 2017 04:36
Uncontrolled Keywords: quality controller; rate control; self-tuning fuzzy-PID controller
Fields of Research : 10 Technology > 1005 Communications Technologies > 100509 Video Communications
08 Information and Computing Sciences > 0804 Data Format > 080401 Coding and Information Theory
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080108 Neural, Evolutionary and Fuzzy Computation
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: 10.1007/s11760-013-0518-2
URI: http://eprints.usq.edu.au/id/eprint/23785

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