DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Younghoon | ko |
dc.contributor.author | Kim, Jungsoo | ko |
dc.contributor.author | Kyung, Chong-Min | ko |
dc.date.accessioned | 2013-03-09T19:55:00Z | - |
dc.date.available | 2013-03-09T19:55:00Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2012-02 | - |
dc.identifier.citation | IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, v.20, no.2, pp.310 - 318 | - |
dc.identifier.issn | 1063-8210 | - |
dc.identifier.uri | http://hdl.handle.net/10203/97340 | - |
dc.description.abstract | Growing needs for surveillance in locations without power lines necessitates the development of a surveillance camera with extremely low-power consumption and an assured stable operation until the time of expected run-out of available energy. This paper proposes an algorithm for scheduling of video encoding configurations in a battery-operated surveillance system to reduce the image distortion while assuring the sustained operation until the battery recharge/exchange. The optimal video encoding configuration is determined based on the amount of estimated remaining event duration (considering the uncertainty of events) and remaining battery charge (considering the rate-capacity and recovery effect). The proposed algorithm consists of two steps: design-time step and run-time step. In the design-time step, prediction of remaining event duration, called duration prediction, is performed considering the uncertainty of events and tradeoff between encoding power and image quality. During run-time, video encoding configuration is switched between intra-frame encoding and inter-frame encoding based on the duration prediction obtained in design-time step and the remaining battery charge measured in run-time step. Compared to the conventional method based on the most conservative duration prediction [5], experimental results show that the proposed method provides 2.24 similar to 3.78 dB improvement in the image quality (in terms of peak signal-to-noise ratio in the H.264 encoding of four video sequences while satisfying the battery constraint. | - |
dc.language | English | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.subject | EMBEDDED SYSTEMS | - |
dc.subject | OPTIMIZATION | - |
dc.subject | PERFORMANCE | - |
dc.subject | MODEL | - |
dc.title | Energy-Aware Video Encoding for Image Quality Improvement in Battery-Operated Surveillance Camera | - |
dc.type | Article | - |
dc.identifier.wosid | 000299718000010 | - |
dc.identifier.scopusid | 2-s2.0-84856265290 | - |
dc.type.rims | ART | - |
dc.citation.volume | 20 | - |
dc.citation.issue | 2 | - |
dc.citation.beginningpage | 310 | - |
dc.citation.endingpage | 318 | - |
dc.citation.publicationname | IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS | - |
dc.identifier.doi | 10.1109/TVLSI.2010.2102055 | - |
dc.contributor.localauthor | Kyung, Chong-Min | - |
dc.contributor.nonIdAuthor | Lee, Younghoon | - |
dc.type.journalArticle | Article | - |
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