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dc.contributor.authorTsai, SSen_US
dc.contributor.authorHang, HMen_US
dc.date.accessioned2014-12-08T15:38:45Z-
dc.date.available2014-12-08T15:38:45Z-
dc.date.issued2004-08-01en_US
dc.identifier.issn0923-5965en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.image.2004.05.008en_US
dc.identifier.urihttp://hdl.handle.net/11536/26526-
dc.description.abstractInterframe wavelet video coding algorithm has received much attention lately because of its high coding efficiency and flexible temporal and spatial scalability. It combines the motion-compensated temporal filtering technique together with the wavelet embedded zeroblock coding technique. Blending these two techniques in a nice manner enables it achieving three types of scalability: SNR, temporal and spatial, in one single bit-stream. However, the performance of the interframe wavelet video coding at low bit-rates is less satisfactory because the bit-rate of the non-scalable motion information is too high. In this paper, we extend the framework of Motion Compensated Embedded Zero Block Coding (MC-EZBC) proposed by RPI (Improved MC-EZBC with Quarter-pixel Motion Vectors, ISO/IEC/JTCI SC29/WG11 doc. No. m8366, Fairfax, May 2002). Our major contribution is splitting the motion information in MC-EZBC into a few layers. At very low bit-rates only the "coarse" motion vectors are transmitted. Therefore, we are able to produce compressed bit streams at a lower bit-rate and the associated picture quality is significantly better than that of the original scheme. The overhead due to motion information partitioning is negligible at higher rates. Hence, the rate-distortion performance at high rates is about the same as that of the original scheme. In addition, a Hilbert curve scan order is proposed to increase the efficiency up to 5% in encoding the differential motion vectors. (C) 2004 Elsevier B.V. All rights reserved.en_US
dc.language.isoen_USen_US
dc.titleMotion information scalability for MC-EZBCen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.image.2004.05.008en_US
dc.identifier.journalSIGNAL PROCESSING-IMAGE COMMUNICATIONen_US
dc.citation.volume19en_US
dc.citation.issue7en_US
dc.citation.spage675en_US
dc.citation.epage684en_US
dc.contributor.department電子工程學系及電子研究所zh_TW
dc.contributor.departmentDepartment of Electronics Engineering and Institute of Electronicsen_US
dc.identifier.wosnumberWOS:000223653100008-
dc.citation.woscount8-
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