Bayesian Integration of Face and Low-Level Cues for Foveated Video Coding

We present a Bayesian model that allows to automatically generate flxations/foveations and that can be suitably exploited for compression purposes. The twofold aim of this work is to investigate how the exploitation of high-level perceptual cues provided by human faces occurring in the video can enh...

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Veröffentlicht in:	IEEE transactions on circuits and systems for video technology Jg. 18; H. 12; S. 1727 - 1740
Hauptverfasser:	Boccignone, G., Marcelli, A., Napoletano, P., Di Fiore, G., Iacovoni, G., Morsa, S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.12.2008 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Applied sciences Bayesian methods Coding, codes Detection, estimation, filtering, equalization, prediction Exact sciences and technology Face Face detection foveated video coding foveation filtering Humans Image coding Image processing Information, signal and communications theory Layout Level control Pattern recognition Performance gain Protocols Signal and communications theory Signal processing Signal, noise Telecommunications and information theory Video coding Video compression video quality measurement Biometrics Video coding Performance evaluation Foveation Image processing video quality measurement Data compression foveated video coding foveation filtering Video signal processing Image coding Image evaluation Prior information Filtering Face recognition Image compression Pattern recognition Experimental protocol Face detection Image quality Calling line identification presentation Quality control Miniaturization Bayes methods Automatic recognition Gain
ISSN:	1051-8215, 1558-2205
Online-Zugang:	Volltext
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