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dc.contributor.authorChen, Yi-Wenen_US
dc.contributor.authorHsiao, Ming-Hoen_US
dc.contributor.authorChen, Hua-Tsungen_US
dc.contributor.authorLiu, Chi-Yuen_US
dc.contributor.authorLee, Suh-Yinen_US
dc.date.accessioned2014-12-08T15:12:15Z-
dc.date.available2014-12-08T15:12:15Z-
dc.date.issued2008-05-01en_US
dc.identifier.issn1047-3203en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.jvcir.2008.01.002en_US
dc.identifier.urihttp://hdl.handle.net/11536/9415-
dc.description.abstractIn this paper, we propose the Content-Aware Fast Motion Estimation Algorithm (CAFME) that can reduce computation complexity of motion estimation (ME) in H.264/AVC while maintaining almost the same coding efficiency. Motion estimation can be divided into two phases: searching phase and matching phase. In searching phase.. we propose the Simple Dynamic Search Range Algorithm (SDSR) based on video characteristics to reduce the number of search points (SP). In matching phase, we integrate the Successive Elimination Algorithm (SEA) and the integral frame to develop a new SEA for H.264/AVC video compression standard, called Successive Elimination Algorithm with Integral Frame (SEAIF). Besides, we also propose the Early Termination Algorithm (ETA) to early terminate the motion estimation of current block. We implement the proposed algorithm in the reference software JM9.4 of H.264/AVC and the experimental results show that our proposed algorithm can reduce the number of search points about 93.1%, encoding time about 42%, while maintaining almost the same bitrate and PSNR. (c) 2008 Elsevier Inc. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectmotion estimationen_US
dc.subjectsuccessive elimination algorithmen_US
dc.subjectintegral frameen_US
dc.subjectsearch rangeen_US
dc.subjectH.264/AVCen_US
dc.subjectSADen_US
dc.subjectmotion vectoren_US
dc.subjectcomputational complexityen_US
dc.titleContent-aware fast motion estimation algorithmen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.jvcir.2008.01.002en_US
dc.identifier.journalJOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATIONen_US
dc.citation.volume19en_US
dc.citation.issue4en_US
dc.citation.spage256en_US
dc.citation.epage269en_US
dc.contributor.department交大工研院聯合研發中心zh_TW
dc.contributor.departmentNCTU/ITRI Joint Research Centeren_US
dc.identifier.wosnumberWOS:000256604100004-
dc.citation.woscount2-
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