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Adaptive wavelet-packet decomposition for rate control of object oriented coding of video sequences

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dc.contributor.author Stephanakis, Ioannis en
dc.contributor.author Doulamis, Anastasios en
dc.contributor.author Doulamis, Nikolaos en
dc.contributor.author Kollias, Stefanos en
dc.date.accessioned 2014-03-01T02:41:35Z
dc.date.available 2014-03-01T02:41:35Z
dc.date.issued 1999 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/30545
dc.subject Object Oriented en
dc.subject Rate Control en
dc.subject Video Object en
dc.subject Wavelet Packet en
dc.subject Wavelet Packet Decomposition en
dc.subject.other Image analysis en
dc.subject.other Image communication systems en
dc.subject.other Image quality en
dc.subject.other Signal to noise ratio en
dc.subject.other Standards en
dc.subject.other Trees (mathematics) en
dc.subject.other Object oriented coding en
dc.subject.other Peak signal to noise ratio (PSNR) en
dc.subject.other Video object (VO) en
dc.subject.other Wavelet packet trees en
dc.subject.other Image coding en
dc.title Adaptive wavelet-packet decomposition for rate control of object oriented coding of video sequences en
heal.type conferenceItem en
heal.identifier.primary 10.1109/ICIP.1999.822904 en
heal.identifier.secondary http://dx.doi.org/10.1109/ICIP.1999.822904 en
heal.publicationDate 1999 en
heal.abstract A novel object dependent coding scheme based on optimization upon wavelet packet trees is proposed. The method may be employed in the context of object oriented video standard MPEG-4 for constraint distortion minimization for each Video Object (VO). Optimal transmission rates are evaluated for each VO which guarantee that important VO (like the foreground) are transmitted with distortions which are equal or less than preselected distortion values. The proposed algorithm is applied to object dependent coding of video frames of the Akiyo sequence with Peak-Signal-to-Noise (PSNR) values, which are higher for the foreground than the background. Experimental results, which favor the proposed method, are provided as well. en
heal.publisher IEEE, Los Alamitos, CA, United States en
heal.journalName IEEE International Conference on Image Processing en
dc.identifier.doi 10.1109/ICIP.1999.822904 en
dc.identifier.volume 2 en
dc.identifier.spage 298 en
dc.identifier.epage 302 en


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