Content-based decomposition of gesture videos

Doulamis, ND; Doulamis, AD; Kosmopoulos, DI

dc.contributor.author	Doulamis, ND	en
dc.contributor.author	Doulamis, AD	en
dc.contributor.author	Kosmopoulos, DI	en
dc.date.accessioned	2014-03-01T02:43:11Z
dc.date.available	2014-03-01T02:43:11Z
dc.date.issued	2005	en
dc.identifier.issn	15206130	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31281
dc.subject	Binary Tree	en
dc.subject	Dynamic Adaptation	en
dc.subject	Hierarchical Structure	en
dc.subject	Human Computer Interface	en
dc.subject	Video Browsing	en
dc.subject.other	Binary trees	en
dc.subject.other	Dynamically adapted video summary	en
dc.subject.other	Gesture video decomposition	en
dc.subject.other	Key frames	en
dc.subject.other	Bandwidth	en
dc.subject.other	Binary codes	en
dc.subject.other	Content based retrieval	en
dc.subject.other	Feature extraction	en
dc.subject.other	Gesture recognition	en
dc.subject.other	Hierarchical systems	en
dc.subject.other	Networks (circuits)	en
dc.subject.other	Video signal processing	en
dc.title	Content-based decomposition of gesture videos	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/SIPS.2005.1579886	en
heal.identifier.secondary	http://dx.doi.org/10.1109/SIPS.2005.1579886	en
heal.identifier.secondary	1579886	en
heal.publicationDate	2005	en
heal.abstract	In this paper we present a novel method for gesture video decomposition based on the depicted content. From the initial content the key-frames are extracted and the neighboring frames are assigned to key-frames of similar content. The resulting frame groups are decomposed to binary trees, based on the energy of the depicted gestures. In case of reduced bandwidth we keep the original timeline but we send only a dynamically adapted video summary. The respective frames are obtained by moving appropriately across the hierarchy layers of the constructed tree. The hierarchically structured video can be used for purposes such as efficient video browsing and transmission of dynamically generated summaries over low bandwidth networks, for communication or human-computer interface applications. © 2005 IEEE.	en
heal.journalName	IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation	en
dc.identifier.doi	10.1109/SIPS.2005.1579886	en
dc.identifier.volume	2005	en
dc.identifier.spage	319	en
dc.identifier.epage	324	en