Facial image indexing in multimedia databases

Tsapatsoulis, N; Avrithis, Y; Kollias, SD

dc.contributor.author	Tsapatsoulis, N	en
dc.contributor.author	Avrithis, Y	en
dc.contributor.author	Kollias, SD	en
dc.date.accessioned	2014-03-01T01:16:35Z
dc.date.available	2014-03-01T01:16:35Z
dc.date.issued	2001	en
dc.identifier.issn	1433-7541	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/14096
dc.subject	Content-based retrieval	en
dc.subject	Face detection	en
dc.subject	Face indexing	en
dc.subject	Multimedia databases	en
dc.subject.classification	Computer Science, Artificial Intelligence	en
dc.subject.other	MPEG VIDEO	en
dc.subject.other	FRAMEWORK	en
dc.title	Facial image indexing in multimedia databases	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/PL00014577	en
heal.identifier.secondary	http://dx.doi.org/10.1007/PL00014577	en
heal.language	English	en
heal.publicationDate	2001	en
heal.abstract	Pictures and video sequences showing human faces are of high importance in content-based retrieval systems, and consequently face detection has been established as an important tool in the framework of many multimedia applications like indexing, scene classification and news summarisation, In this work, we combine skin colour and shape features with template matching in an efficient way for the purpose of facial image indexing. We propose an adaptive two-dimensional Gaussian model of the skin colour distribution whose parameters are re-estimated based oil the current image or frame, reducing generalisation problems, Masked areas obtained from skin colour detection are processed using morphological tools and assessed using global shape features. The verification stage is based on a template matching variation providing robust detection. Facial images and video sequences are indexed according to the number of included faces, their average colour components and their scale. leading to new types of content-based retrieval criteria in query-by-example frameworks. Experimental results have shown that the proposed implementation combines efficiency, robustness and speed, and could be easily embedded in generic visual information retrieval systems or video databases.	en
heal.publisher	SPRINGER-VERLAG	en
heal.journalName	Pattern Analysis and Applications	en
dc.identifier.doi	10.1007/PL00014577	en
dc.identifier.isi	ISI:000169705500003	en
dc.identifier.volume	4	en
dc.identifier.issue	2-3	en
dc.identifier.spage	93	en
dc.identifier.epage	107	en