Spatiotemporal visual attention architecture for video analysis

Rapantzikos, K; Tsapatsoulis, N; Avrithis, Y

dc.contributor.author	Rapantzikos, K	en
dc.contributor.author	Tsapatsoulis, N	en
dc.contributor.author	Avrithis, Y	en
dc.date.accessioned	2014-03-01T02:42:58Z
dc.date.available	2014-03-01T02:42:58Z
dc.date.issued	2004	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31163
dc.subject	Scene analysis	en
dc.subject	Spatiotemporal processing	en
dc.subject	Visual attention	en
dc.subject.other	Scene analysis	en
dc.subject.other	Spatiotemporal processing	en
dc.subject.other	Video surveillance	en
dc.subject.other	Visual attention	en
dc.subject.other	Algorithms	en
dc.subject.other	Communication channels (information theory)	en
dc.subject.other	Computational methods	en
dc.subject.other	Computer architecture	en
dc.subject.other	Image analysis	en
dc.subject.other	Image segmentation	en
dc.subject.other	Mathematical models	en
dc.subject.other	Signal detection	en
dc.subject.other	Video signal processing	en
dc.title	Spatiotemporal visual attention architecture for video analysis	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/MMSP.2004.1436423	en
heal.identifier.secondary	http://dx.doi.org/10.1109/MMSP.2004.1436423	en
heal.publicationDate	2004	en
heal.abstract	Several visual attention (VA) schemes have been proposed with the saliency-based ones being the most popular. The proposed work provides an extension towards VA in video sequences by incorporating the temporal dimension. The architecture is presented in detail and potential applications are investigated. We expect that the extended VA scheme will reveal interesting events across the sequence like occlusions and short occurrences of objects, providing a basis for video surveillance (e.g. intruder detection), segmentation and summarization applications.	en
heal.journalName	2004 IEEE 6th Workshop on Multimedia Signal Processing	en
dc.identifier.doi	10.1109/MMSP.2004.1436423	en
dc.identifier.spage	83	en
dc.identifier.epage	86	en