Improving the performance of MPEG compatible encoding at low bit rates using adaptive neural networks

Doulamis, N; Doulamis, A; Kollias, S

dc.contributor.author	Doulamis, N	en
dc.contributor.author	Doulamis, A	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T01:15:39Z
dc.date.available	2014-03-01T01:15:39Z
dc.date.issued	2000	en
dc.identifier.issn	1077-2014	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/13646
dc.subject	Adaptive Neural Network	en
dc.subject	Object Extraction	en
dc.subject	Rate Control	en
dc.subject	Foreground Background	en
dc.subject.classification	Computer Science, Artificial Intelligence	en
dc.subject.classification	Computer Science, Software Engineering	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.subject.other	MODEL	en
dc.subject.other	VIDEO	en
dc.title	Improving the performance of MPEG compatible encoding at low bit rates using adaptive neural networks	en
heal.type	journalArticle	en
heal.identifier.primary	10.1006/rtim.1999.0185	en
heal.identifier.secondary	http://dx.doi.org/10.1006/rtim.1999.0185	en
heal.language	English	en
heal.publicationDate	2000	en
heal.abstract	A new approach is presented in this paper for improving the performance of MPEG encoders, especially in videophone or videoconferencing applications, through allocation of a greater number of bits in objects that belong to the foreground of image frames, than in objects that belong to the background. A human face and body detector followed by a neural network classifier are used for foreground/background object extraction. The derived image segmentation is used to modify the rate control of MPEG schemes so as to allocate more bits to foreground objects than to background, while retaining compatibility with MPEG encoders. Experimental results are presented, including image sequences with complex backgrounds, which illustrate the performance of the proposed scheme. Both a subjective image quality improvement and a PSNR increase of about 1.35 db on average have been obtained. (C) 2000 Academic Press.	en
heal.publisher	ACADEMIC PRESS LTD	en
heal.journalName	REAL-TIME IMAGING	en
dc.identifier.doi	10.1006/rtim.1999.0185	en
dc.identifier.isi	ISI:000165188600002	en
dc.identifier.volume	6	en
dc.identifier.issue	5	en
dc.identifier.spage	327	en
dc.identifier.epage	345	en