Rate-Distortion Optimized Cross-Layer Rate Control in Wireless Video Communication
A wireless video communication system can be designed based on the rate-distortion (R-D) criterion, i.e., minimizing the end-to-end distortion (which includes quantization distortion and transmission distortion) subject to the transmission bit-rate constraint. The minimization can be achieved by adj...
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| Published in: | IEEE transactions on circuits and systems for video technology Vol. 22; no. 3; pp. 352 - 365 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
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New York, NY
IEEE
01.03.2012
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 1051-8215, 1558-2205 |
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| Abstract | A wireless video communication system can be designed based on the rate-distortion (R-D) criterion, i.e., minimizing the end-to-end distortion (which includes quantization distortion and transmission distortion) subject to the transmission bit-rate constraint. The minimization can be achieved by adjusting the source encoding parameters and channel encoding parameters. This rate-distortion optimization (RDO) is usually done for each video frame individually in a real-time video communication system, e.g., video calls or videoconferencing. To achieve this, an accurate bit-rate model and distortion model for each frame can be used to reduce the RDO complexity. In this paper, we derive a source bit-rate model and quantization distortion model; we also improve the performance bound for channel coding under a convolutional code and a Viterbi decoder, and derive its performance bound under a Rayleigh block fading channel. Given the instantaneous channel condition, e.g., signal-to-noise ratio and transmission bit-rate constraint, we design an R-D optimized cross-layer rate control (CLRC) algorithm by jointly choosing quantization step size in source coding and code rate in channel coding. Experimental results show that our proposed R-D models are more accurate than the existing R-D models. Experimental results also showed that the rate control under our models has more stable R-D performance than the existing rate control algorithms; using the channel estimation, CLRC can further achieve remarkable R-D performance gain over that without channel estimation. Another important result is that the subjective quality of our CLRC algorithm is much better than the existing algorithms due to its intelligent reference frame selection. |
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| AbstractList | A wireless video communication system can be designed based on the rate-distortion (R-D) criterion, i.e., minimizing the end-to-end distortion (which includes quantization distortion and transmission distortion) subject to the transmission bit-rate constraint. The minimization can be achieved by adjusting the source encoding parameters and channel encoding parameters. This rate-distortion optimization (RDO) is usually done for each video frame individually in a real-time video communication system, e.g., video calls or videoconferencing. To achieve this, an accurate bit-rate model and distortion model for each frame can be used to reduce the RDO complexity. In this paper, we derive a source bit-rate model and quantization distortion model; we also improve the performance bound for channel coding under a convolutional code and a Viterbi decoder, and derive its performance bound under a Rayleigh block fading channel. Given the instantaneous channel condition, e.g., signal-to-noise ratio and transmission bit-rate constraint, we design an R-D optimized cross-layer rate control (CLRC) algorithm by jointly choosing quantization step size in source coding and code rate in channel coding. Experimental results show that our proposed R-D models are more accurate than the existing R-D models. Experimental results also showed that the rate control under our models has more stable R-D performance than the existing rate control algorithms; using the channel estimation, CLRC can further achieve remarkable R-D performance gain over that without channel estimation. Another important result is that the subjective quality of our CLRC algorithm is much better than the existing algorithms due to its intelligent reference frame selection. |
| Author | Zhifeng Chen Dapeng Wu |
| Author_xml | – sequence: 1 givenname: Zhifeng surname: Chen fullname: Chen, Zhifeng – sequence: 2 givenname: Dapeng surname: Wu fullname: Wu, Dapeng |
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| Keywords | Performance evaluation Parameter estimation Wireless telecommunication joint source channel coding (JSCC) Information rate Videoconference Optimization Research and development Cross-layer rate control (CLRC) Signal quantization Cross-layer approach Traffic control Fading channels fading channel Source coding Convolutional code Flow rate regulation Rayleigh channels Rate distortion theory Teletraffic end-to-end distortion System design Quantum effect Algorithm Channel coding Information transmission Telecommunication system Transmission rate Viterbi decoding rate-distortion optimization (RDO) wireless video Signal to noise ratio |
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| Snippet | A wireless video communication system can be designed based on the rate-distortion (R-D) criterion, i.e., minimizing the end-to-end distortion (which includes... |
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| SubjectTerms | Algorithms Applied sciences Broadcasting. Videocommunications. Audiovisual Channel coding Channels Coding Coding, codes Communications systems Control algorithms Cross-layer rate control (CLRC) Distortion Encoding end-to-end distortion Entropy Exact sciences and technology fading channel Information, signal and communications theory joint source channel coding (JSCC) Laplace equations Nonlinear distortion Optimization Quantization rate-distortion optimization (RDO) Sampling, quantization Signal and communications theory Studies Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transforms Transmission and modulation (techniques and equipments) Video communication Videocommunications (networks and services) Wireless communication wireless video |
| Title | Rate-Distortion Optimized Cross-Layer Rate Control in Wireless Video Communication |
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