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dc.contributor.authorHsiao, Hsu-Fengen_US
dc.contributor.authorWu, Chen-Tsangen_US
dc.date.accessioned2014-12-08T15:33:31Z-
dc.date.available2014-12-08T15:33:31Z-
dc.date.issued2013-12-01en_US
dc.identifier.issn1045-9219en_US
dc.identifier.urihttp://dx.doi.org/10.1109/TPDS.2013.7en_US
dc.identifier.urihttp://hdl.handle.net/11536/23246-
dc.description.abstractDue to the nature of a dynamic group of picture (GOP) structure, parallel scheduling for video encoding becomes challenging. To address this, the balanced frame-level parallel scheduling algorithms are developed. The proposed approaches first determine the frame priority and then the thread priority assignment for scheduling. The concept of the algorithms lies in the analysis of coding complexity, temporal influence, and the required temporal burden to finish coding. To complete the scheduling with the dynamic GOP structure, a block-based abrupt and gradual scene change detection algorithm is also proposed to determine the GOP structure adaptively. The experiments show that the scheduling performance is close to the optimal. In addition, the concept of batch processing is incorporated so that the required buffer can be reduced.en_US
dc.language.isoen_USen_US
dc.subjectAdaptive GOP structureen_US
dc.subjectparallel schedulingen_US
dc.titleBalanced Parallel Scheduling for Video Encoding with Adaptive GOP Structureen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/TPDS.2013.7en_US
dc.identifier.journalIEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMSen_US
dc.citation.volume24en_US
dc.citation.issue12en_US
dc.citation.spage2355en_US
dc.citation.epage2364en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000326501400005-
dc.citation.woscount1-
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