Wavelet based estimation of saliency maps in visual attention algorithms

Tsapatsoulis, N; Rapantzikos, K

dc.contributor.author	Tsapatsoulis, N	en
dc.contributor.author	Rapantzikos, K	en
dc.date.accessioned	2014-03-01T02:44:22Z
dc.date.available	2014-03-01T02:44:22Z
dc.date.issued	2006	en
dc.identifier.issn	0302-9743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31779
dc.subject	Perceptual video coding	en
dc.subject	Saliency maps	en
dc.subject	Visual attention	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.subject.other	Perceptual video coding	en
dc.subject.other	Saliency maps	en
dc.subject.other	Topographic feature maps	en
dc.subject.other	Visual attention	en
dc.subject.other	Algorithms	en
dc.subject.other	Computational complexity	en
dc.subject.other	Computational methods	en
dc.subject.other	Conformal mapping	en
dc.subject.other	Integration	en
dc.subject.other	Mathematical models	en
dc.subject.other	Visualization	en
dc.subject.other	Wavelet transforms	en
dc.title	Wavelet based estimation of saliency maps in visual attention algorithms	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/11840930_56	en
heal.identifier.secondary	http://dx.doi.org/10.1007/11840930_56	en
heal.language	English	en
heal.publicationDate	2006	en
heal.abstract	This paper deals with the problem of saliency map estimation in computational models of visual attention. In particular, we propose a wavelet based approach for efficient computation of the topographic feature maps. Given that wavelets and multiresolution theory are naturally connected the usage of wavelet decomposition for mimicking the center surround process in humans is an obvious choice. However, our proposal goes further. We utilize the wavelet decomposition for inline computation of the features (such as orientation) that are used to create the topographic feature maps. Topographic feature maps are then combined through a sigmoid function to produce the final saliency map. The computational model we use is based on the Feature Integration Theory of Treisman et al and follows the computational philosophy of this theory proposed by Itti et al. A series of experiments, conducted in a video encoding setup, show that the proposed method compares well against other implementations found in the literature both in terms of visual trials and computational complexity. © Springer-Verlag Berlin Heidelberg 2006.	en
heal.publisher	SPRINGER-VERLAG BERLIN	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
heal.bookName	LECTURE NOTES IN COMPUTER SCIENCE	en
dc.identifier.doi	10.1007/11840930_56	en
dc.identifier.isi	ISI:000241475200056	en
dc.identifier.volume	4132 LNCS - II	en
dc.identifier.spage	538	en
dc.identifier.epage	547	en