HEAL DSpace

A multiscale tree-structure for fast browsing and effective transmission of video files

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dc.contributor.author Ntalianis, KS en
dc.contributor.author Doulamis, ND en
dc.contributor.author Doulamis, AD en
dc.contributor.author Koukoutsidis, IZ en
dc.contributor.author Kollias, SD en
dc.date.accessioned 2014-03-01T02:41:39Z
dc.date.available 2014-03-01T02:41:39Z
dc.date.issued 2001 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/30585
dc.subject Cross Correlation en
dc.subject Tree Structure en
dc.subject Full Resolution en
dc.subject layer 2 en
dc.subject layer 3 en
dc.subject.other Content based retrieval en
dc.subject.other Correlation methods en
dc.subject.other Feature extraction en
dc.subject.other Real time systems en
dc.subject.other Trees (mathematics) en
dc.subject.other Vector quantization en
dc.subject.other Video files en
dc.subject.other Video signal processing en
dc.title A multiscale tree-structure for fast browsing and effective transmission of video files en
heal.type conferenceItem en
heal.identifier.primary 10.1109/MMSP.2001.962779 en
heal.identifier.secondary http://dx.doi.org/10.1109/MMSP.2001.962779 en
heal.publicationDate 2001 en
heal.abstract In this paper, a multiscale video content organization scheme is proposed for fast browsing and efficient transmission of video sequences. The scheme leads to construction of a five-layer tree structure. At layer 0 the root-node is located, connected to all nodes of layer 1, each corresponding to a class of shots. Then every class of shots is expanded at layer 2. The nodes of this layer represent shots. At the next resolution level (layer 3) nodes represent key-frames of shots. Finally at layer 4 the full resolution level is reached, where nodes correspond to frames of the sequence. Each node contains a viewing element and we focus on the extraction of these elements for layers 1,2 and 3. Viewing elements of layers 1 and 3 are optimally extracted by minimizing a cross correlation criterion. Additionally viewing elements of layer 2 are selected according to a correlation measure between the mean vector of a shot and each of the frames within this shot. The resulting tree-structure enables a user to quickly and easily detect content of interest, by selecting the viewing element of his/her liking. Experimental results on real-life video sequences indicate the promising performance of the proposed scheme. en
heal.journalName 2001 IEEE Fourth Workshop on Multimedia Signal Processing en
dc.identifier.doi 10.1109/MMSP.2001.962779 en
dc.identifier.spage 479 en
dc.identifier.epage 484 en


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