Subjective video codec evaluation for streaming services up to 1 Mbps

Doukoglou, T; Androulidakis, S; Kagklis, D

dc.contributor.author	Doukoglou, T	en
dc.contributor.author	Androulidakis, S	en
dc.contributor.author	Kagklis, D	en
dc.date.accessioned	2014-03-01T01:21:34Z
dc.date.available	2014-03-01T01:21:34Z
dc.date.issued	2004	en
dc.identifier.issn	0302-9743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/16257
dc.subject	Broadband Network	en
dc.subject	Mathematical Analysis	en
dc.subject	Multimedia Networking	en
dc.subject	Multimedia Services	en
dc.subject	Perceived Quality	en
dc.subject	Point of View	en
dc.subject	Statistical Method	en
dc.subject	Video Codec	en
dc.subject	Video Streaming	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.title	Subjective video codec evaluation for streaming services up to 1 Mbps	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/978-3-540-25969-5_88	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-540-25969-5_88	en
heal.language	English	en
heal.publicationDate	2004	en
heal.abstract	Recent research has established that we can offer dvd-quality video streaming services to customers with broadband network access using MPEG1 and MPEG2 coding schemes at bit-rates greater than 1.5Mbps, achieving an optimal balance between bandwidth and quality around 3Mbps. New video codecs have evolved and matured which can reduce the necessary streaming bandwidth without adversely affecting quality to an unacceptable degree [1]. As these codecs are based on lossy coding algorithms, it is essential to gain an understanding of the subjective quality offered, as perceived by the end user of multimedia services. This understanding will not be built on a mathematic analysis which would reveal the actual quality of each encoding, but will rather use a statistical method to ascertain the perceived quality from the user point of view, which will be the guideline for creating and offering multimedia network services. © Springer-Verlag Berlin Heidelberg 2004.	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	10.1007/978-3-540-25969-5_88	en
dc.identifier.isi	ISI:000222523700088	en
dc.identifier.volume	3079	en
dc.identifier.spage	941	en
dc.identifier.epage	949	en