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dc.contributor.authorLin, Hung-Chihen_US
dc.contributor.authorHang, Hsueh-Mingen_US
dc.contributor.authorPeng, Wen-Hsiaoen_US
dc.date.accessioned2014-12-08T15:21:00Z-
dc.date.available2014-12-08T15:21:00Z-
dc.date.issued2011-12-01en_US
dc.identifier.issn1057-7149en_US
dc.identifier.urihttp://dx.doi.org/10.1109/TIP.2011.2156802en_US
dc.identifier.urihttp://hdl.handle.net/11536/14927-
dc.description.abstractIn this paper, we propose a fast algorithm that efficiently selects the temporal prediction type for the dyadic hierarchical-B prediction structure in the H.264/MPEG-4 temporal scalable video coding (SVC). We make use of the strong correlations in prediction type inheritance to eliminate the superfluous computations for the bi-directional (BI) prediction in the finer partitions, 16 x 8/8 x 16/8 x 8, by referring to the best temporal prediction type of 16 x 16. In addition, we carefully examine the relationship in motion bit-rate costs and distortions between the BI and the uni-directional temporal prediction types. As a result, we construct a set of adaptive thresholds to remove the unnecessary BI calculations. Moreover, for the block partitions smaller than 8 x 8, either the forward prediction (FW) or the backward prediction (BW) is skipped based upon the information of their 8 x 8 partitions. Hence, the proposed schemes can efficiently reduce the extensive computational burden in calculating the BI prediction. As compared to the JSVM 9.11 software, our method saves the encoding time from 48% to 67% for a large variety of test videos over a wide range of coding bit-rates and has only a minor coding performance loss.en_US
dc.language.isoen_USen_US
dc.subjectBi-directional predictionen_US
dc.subjectbi-directionally predictive frameen_US
dc.subjectencoder optimizationen_US
dc.subjecthierarchical prediction structureen_US
dc.subjectH.264/MPEG-4 AVC scalable video codingen_US
dc.subjecttemporal scalabilityen_US
dc.titleFast Bi-Directional Prediction Selection in H.264/MPEG-4 AVC Temporal Scalable Video Codingen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/TIP.2011.2156802en_US
dc.identifier.journalIEEE TRANSACTIONS ON IMAGE PROCESSINGen_US
dc.citation.volume20en_US
dc.citation.issue12en_US
dc.citation.spage3508en_US
dc.citation.epage3523en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.department電子工程學系及電子研究所zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.contributor.departmentDepartment of Electronics Engineering and Institute of Electronicsen_US
dc.identifier.wosnumberWOS:000297340300017-
dc.citation.woscount2-
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