Finding faces in wavelet domain for content-based coding of color images
DSpace at IIT Bombay
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Title |
Finding faces in wavelet domain for content-based coding of color images
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Creator |
KARLEKAR, JAYASHREE
DESAI, UB |
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Subject |
content-based retrieval
data compression feature extraction image coding image colour analysis rate distortion theory quantisation (signal) |
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Description |
Human face images form the important database in police departments, banks, security kiosks, and they are also found in abundance in day-to-day life. In these databases the important content, of course, is the face region. We present a highly efficient system that detects the human faces in the wavelet transform for discriminative quantization to achieve high perceptual quality content-based image coding technique. The proposed method gives superior subjective performance over JPEG without sacrificing the performance in the rate-distortion spectrum.
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Publisher |
IEEE
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Date |
2008-12-10T06:33:48Z
2011-11-28T07:58:07Z 2011-12-15T09:57:18Z 2008-12-10T06:33:48Z 2011-11-28T07:58:07Z 2011-12-15T09:57:18Z 2000 |
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Type |
Article
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Identifier |
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (V 6), Istanbul, Turkey, 5-9 June 2000, 2338-2341
0-7803-6293-4 10.1109/ICASSP.2000.859309 http://hdl.handle.net/10054/249 http://dspace.library.iitb.ac.in/xmlui/handle/10054/249 |
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Language |
en
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