Optimal multi-content video decomposition for efficient video transmission over low-bandwidth networks

Doulamis, A; Doulamis, N

dc.contributor.author	Doulamis, A	en
dc.contributor.author	Doulamis, N	en
dc.date.accessioned	2014-03-01T02:42:08Z
dc.date.available	2014-03-01T02:42:08Z
dc.date.issued	2002	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30809
dc.subject	Contention Resolution	en
dc.subject	Cross Correlation	en
dc.subject	Tree Structure	en
dc.subject	Video Transmission	en
dc.subject	Internet Protocol	en
dc.subject.other	Bandwidth	en
dc.subject.other	Genetic algorithms	en
dc.subject.other	Image segmentation	en
dc.subject.other	Internet	en
dc.subject.other	Network protocols	en
dc.subject.other	Optimization	en
dc.subject.other	Low bandwidth networks	en
dc.subject.other	Video decomposition	en
dc.subject.other	Video transmission	en
dc.subject.other	Data communication systems	en
dc.title	Optimal multi-content video decomposition for efficient video transmission over low-bandwidth networks	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICIP.2002.1039922	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICIP.2002.1039922	en
heal.publicationDate	2002	en
heal.abstract	In this paper, an interactive framework for navigating video sequences over Internet Protocol (IP)-based networks is presented using an optimal content-based video decomposition scheme. In particular, each video sequence is analyzed at different ""content resolution levels"", creating a hierarchy from the lowest (coarse) to the highest (fine) resolution. This content hierarchy is represented as a tree structure, each level of which corresponds to a particular content resolution, while the tree-nodes indicate the regions that the sequence content is partitioned at a given resolution. Optimal content-based video decomposition is performed by minimizing a cross correlation criterion so that the most representative shots from a video sequence or frames from a video shot are extracted. Experimental results on real-life video sequences show a sufficient representation of the visual content at each resolution level and a significant reduction of the transmission information, compared to the traditional sequential video scanning.	en
heal.journalName	IEEE International Conference on Image Processing	en
dc.identifier.doi	10.1109/ICIP.2002.1039922	en
dc.identifier.volume	2	en
dc.identifier.spage	II/201	en
dc.identifier.epage	II/204	en