DocumentCode :
329938
Title :
Face-based visually-optimized image sequence coding
Author :
Daly, Scott ; Matthews, Kristine ; Ribas-Corbera, Jordi
Author_Institution :
Sharp Lab. of America, USA
fYear :
1998
fDate :
4-7 Oct 1998
Firstpage :
443
Abstract :
We have developed a coding technique which exploits characteristics of the human visual system to allocate more bits to the region in which a viewer is most likely, and assumed, to be looking. We focus on applications, such as video phone and video teleconferencing, in which the regions of interest are those containing human faces. Our approach encodes the video frames more efficiently than uniform quantization and can be used to significantly reduce the encoding bit rate or to improve the perceived image quality for a given bit budget. The method consists of the following: face detection and tracking, local visual-sensitivity determination, and quantizer control
Keywords :
data compression; face recognition; image recognition; image sequences; optimisation; quantisation (signal); teleconferencing; tracking; video coding; videotelephony; visual perception; bit budget; encoding bit rate reduction; face detection; face tracking; human faces; human visual system; local visual-sensitivity determination; perceived image quality; quantizer control; regions of interest; uniform quantization; video compression; video frame coding; video phone; video teleconferencing; visually-optimized image sequence coding; Bit rate; Face detection; Head; Humans; Image coding; Image quality; Image sequences; Quantization; Teleconferencing; Video compression; Visual system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-8186-8821-1
Type :
conf
DOI :
10.1109/ICIP.1998.727233
Filename :
727233
Link To Document :
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