Low-complexity video coding via power–rate–distortion optimization
► Propose a power–rate–distortion (PRD) optimized low-power video encoding scheme. ► Propose a model to describe the relationship between resource and RD performance. ► Provide a guideline for coding performance optimization under limited resources. Wireless multimedia sensor networks (WMSNs) have b...
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| Vydáno v: | Journal of visual communication and image representation Ročník 23; číslo 3; s. 569 - 585 |
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| Jazyk: | angličtina |
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Elsevier Inc
01.04.2012
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| ISSN: | 1047-3203, 1095-9076 |
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| Abstract | ► Propose a power–rate–distortion (PRD) optimized low-power video encoding scheme. ► Propose a model to describe the relationship between resource and RD performance. ► Provide a guideline for coding performance optimization under limited resources.
Wireless multimedia sensor networks (WMSNs) have been potentially applicable for several emerging applications. The resources, i.e., power and bandwidth available to visual sensors in a WMSN are, however, very limited. Hence, it is important but challenging to achieve efficient resource allocation and optimal video data compression while maximizing the overall network lifetime. In this paper, a power–rate–distortion (PRD) optimized resource-scalable low-complexity multiview video encoding scheme is proposed. In our video encoder, both the temporal and interview information can be exploited based on the comparisons of extracted media hashes without performing motion and disparity estimations, which are known to be time-consuming. We present a PRD model to characterize the relationship between the available resources and the RD performance of our encoder. More specifically, an RD function in terms of the percentages for different coding modes of blocks and the target bit rate under the available resource constraints is derived for optimal coding mode decision. The major goal here is to design a PRD model to optimize a “motion estimation-free” low-complexity video encoder for applications with resource-limited devices, instead of designing a general-purpose video codec to compete compression performance against current compression standards (e.g., H.264/AVC). Analytic results verify the accuracy of our PRD model, which can provide a theoretical guideline for performance optimization under limited resource constraints. Simulation results on joint RD performance and power consumption (measured in terms of encoding time) demonstrate the applicability of our video coding scheme for WMSNs. |
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| AbstractList | ► Propose a power–rate–distortion (PRD) optimized low-power video encoding scheme. ► Propose a model to describe the relationship between resource and RD performance. ► Provide a guideline for coding performance optimization under limited resources.
Wireless multimedia sensor networks (WMSNs) have been potentially applicable for several emerging applications. The resources, i.e., power and bandwidth available to visual sensors in a WMSN are, however, very limited. Hence, it is important but challenging to achieve efficient resource allocation and optimal video data compression while maximizing the overall network lifetime. In this paper, a power–rate–distortion (PRD) optimized resource-scalable low-complexity multiview video encoding scheme is proposed. In our video encoder, both the temporal and interview information can be exploited based on the comparisons of extracted media hashes without performing motion and disparity estimations, which are known to be time-consuming. We present a PRD model to characterize the relationship between the available resources and the RD performance of our encoder. More specifically, an RD function in terms of the percentages for different coding modes of blocks and the target bit rate under the available resource constraints is derived for optimal coding mode decision. The major goal here is to design a PRD model to optimize a “motion estimation-free” low-complexity video encoder for applications with resource-limited devices, instead of designing a general-purpose video codec to compete compression performance against current compression standards (e.g., H.264/AVC). Analytic results verify the accuracy of our PRD model, which can provide a theoretical guideline for performance optimization under limited resource constraints. Simulation results on joint RD performance and power consumption (measured in terms of encoding time) demonstrate the applicability of our video coding scheme for WMSNs. |
| Author | Lin, Chih-Yang Kang, Li-Wei Lu, Chun-Shien |
| Author_xml | – sequence: 1 givenname: Li-Wei surname: Kang fullname: Kang, Li-Wei organization: Institute of Information Science, Academia Sinica, 128, Sec. 2, Academia Rd, Nankang, Taipei 11529, Taiwan – sequence: 2 givenname: Chun-Shien surname: Lu fullname: Lu, Chun-Shien organization: Institute of Information Science, Academia Sinica, 128, Sec. 2, Academia Rd, Nankang, Taipei 11529, Taiwan – sequence: 3 givenname: Chih-Yang surname: Lin fullname: Lin, Chih-Yang email: andrewlin@asia.edu.tw organization: Department of Computer Science and Information Engineering, Asia University, 500, Lioufeng Rd, Wufeng, Taichung 41354, Taiwan |
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| Cites_doi | 10.1109/TCSVT.2005.852399 10.1109/79.952804 10.1109/MSP.2007.323282 10.1109/TMC.2006.98 10.1109/TMM.2008.2001354 10.1109/PCS.2010.5702506 10.1016/j.image.2008.03.002 10.1007/BF01130406 10.1109/ICME.2006.262881 10.1109/TMM.2005.846790 10.1109/3DTV.2007.4379387 10.1109/TCSVT.2006.885724 10.1109/TCSVT.2006.873154 10.1016/j.comcom.2005.02.018 10.1109/MCAS.2007.4299440 10.1109/34.142909 10.1145/1180405.1180439 10.1109/TVT.2009.2013235 10.1109/TCSVT.2007.909972 10.1109/JPROC.2008.928756 10.1109/JPROC.2004.839622 10.1155/2007/70481 10.1155/2007/95076 10.1109/TIP.2009.2036715 10.1109/TCSVT.2008.918122 10.1109/TCSVT.2008.920970 10.1109/TCSVT.2005.846433 10.1145/1062253.1062256 10.3390/s100706662 10.1109/TCSVT.2008.918802 10.1109/TMM.2003.811621 |
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| Keywords | Multiview video coding Wireless multimedia sensor networks Motion estimation Power–rate–distortion optimization Rate–distortion Hash Low-complexity video coding Low-power and power-aware video coding |
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| Snippet | ► Propose a power–rate–distortion (PRD) optimized low-power video encoding scheme. ► Propose a model to describe the relationship between resource and RD... |
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| SubjectTerms | Hash Low-complexity video coding Low-power and power-aware video coding Motion estimation Multiview video coding Power–rate–distortion optimization Rate–distortion Wireless multimedia sensor networks |
| Title | Low-complexity video coding via power–rate–distortion optimization |
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