New rate-distortion modeling and efficient rate control for H.264/AVC video coding |
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| Affiliation: | 1. College of Computer Science & Engineering, University of Electronic Science & Technology of China, Chengdu, China;2. Department of Computer Science, University of Central Arkansas, AR, USA;3. Acxiom Corporation, Conway, AR, USA;1. DeVry University, Chicago Campus, 3300 North Campbell Avenue, Chicago 60618, USA;2. ICube, University of Strasbourg, CNRS, UMR 7537, 300 Boulevard Sébastien Brant, BP 10413, 67412 Illkirch Cedex, France;1. Division of Electrical & Computer Engineering, School of Electrical Engineering and Computer Science, Louisiana State University, Baton Rouge, LA 70803, United States;2. Department of Electrical and Computer Engineering, The University of Texas at San Antonio, San Antonio, TX 78249, United States;3. Department of Experimental Statistics, Louisiana State University, Baton Rouge, LA 70803, United States;1. Department of Electronic Engineering, Sogang University, Seoul, Republic of Korea;2. Sogang Institute of Advanced Technology, Sogang University, Seoul, Republic of Korea;3. Samsung Electronics, Suwon, Republic of Korea;1. Division of Electrical and Computer Engineering, Louisiana State University, Baton Rouge, LA 70803, USA;2. Department of Computer Science and Engineering, University of North Texas, Denton, TX 76207, USA |
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| Abstract: | Rate control (RC) is crucial in controlling compression bit rates and qualities for networked video applications. In this paper, we propose a new rate-distortion (R-D) model and an efficient rate control scheme for H.264/AVC video coding, which elegantly resolve the inter-dependency problem between rate-distortion optimization and rate control by eliminating the need of coding complexity prediction for an inter-frame. The objective is to achieve accurate bit rate, obtain optimal video quality while reducing quality variations and simultaneously handling buffer fullness effectively. The proposed algorithm encapsulates a number of new features, including a coding complexity measure for intra-frames, a rate-distortion model, an accurate quantization parameter (QP) estimation for intra-frames, an incremental quantization parameter calculation method for inter-frames, a proportional+integral+derivative (PID) buffer controller, and an intelligent bit-allocation-balancing technique. Our experimental results demonstrate that the proposed scheme outperforms the JVT-G012 solution by providing accurate rate regulation, effectively reducing frame skipping, and finally improving coding quality by up to 1.80 dB. |
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