Fast video search using scene durations

Stassinopoulos, G; Papastefanos, S; Andritsopoulos, F

dc.contributor.author	Stassinopoulos, G	en
dc.contributor.author	Papastefanos, S	en
dc.contributor.author	Andritsopoulos, F	en
dc.date.accessioned	2014-03-01T02:45:16Z
dc.date.available	2014-03-01T02:45:16Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32248
dc.subject	AudioVisual Search	en
dc.subject	Compressed Domain	en
dc.subject	Multimedia Content	en
dc.subject.other	Compressed domain	en
dc.subject.other	Fast methods	en
dc.subject.other	Fast video	en
dc.subject.other	Large database	en
dc.subject.other	Multimedia contents	en
dc.subject.other	Numerical results	en
dc.subject.other	Scene change	en
dc.subject.other	Scene detection	en
dc.subject.other	Video search	en
dc.subject.other	Management	en
dc.subject.other	Numerical analysis	en
dc.subject.other	Technical presentations	en
dc.subject.other	Video streaming	en
dc.title	Fast video search using scene durations	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1145/1463542.1463561	en
heal.identifier.secondary	http://dx.doi.org/10.1145/1463542.1463561	en
heal.publicationDate	2008	en
heal.abstract	This paper presents a fast video search method that uses the durations of scenes of a query clip to find similar clips in an existing large database of videos. Using scene durations is a very fast method; however it returns a large number of false candidates and will not find the correct candidates if some scene changes are missed in the query clip or the database videos. The first problem can be solved by further refining the results of the scene duration search by comparing these results with the query clip using other, more detailed characteristics like brightness histogram. The second problem can be solved by introducing flexibility in the duration and existence of a scene. Numerical results show the efficiency of the scene duration search and its robustness against drawbacks of the basic scene detection algorithm. The presented methodology is used in the video search part of project DIVAS of the EU Framework Programme. Copyright 2008 ACM.	en
heal.journalName	MM'08 - Proceedings of the 2008 ACM International Conference on Multimedia, with co-located Symposium and Workshops	en
dc.identifier.doi	10.1145/1463542.1463561	en
dc.identifier.spage	113	en
dc.identifier.epage	118	en