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» Learning to compress images and videos
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ICIP
2004
IEEE
15 years 11 months ago
Background modeling and subtraction by codebook construction
We present a new fast algorithm for background modeling and subtraction. Sample background values at each pixel are quantized into codebooks which represent a compressed form of b...
Kyungnam Kim, Thanarat H. Chalidabhongse, David Ha...
TCSV
2002
88views more  TCSV 2002»
14 years 9 months ago
Variable complexity DCT approximations driven by an HVQ-based analyzer
Transform approximations are explored for speeding up the software compression of images and video. Approximations are used to replace the regular discrete cosine transform (DCT) w...
Ricardo L. de Queiroz
CISS
2007
IEEE
15 years 4 months ago
Video Sensor Node for Low-Power Ad-hoc Wireless Networks
A video sensor platform consisting of a smart image sensor with focal plane motion processing is presented. The camera node is intended for ultra-low bandwidth ad-hoc wireless netw...
Yu M. Chi, Ralph Etienne-Cummings, Gert Cauwenberg...
ICIP
2009
IEEE
15 years 11 months ago
Learning Local Models For 2d Human Motion Tracking
We present a novel approach to tracking 2D human motion in uncalibrated monocular videos. Human motion usually exhibits timevarying patterns, and we propose to use locally learnt ...
ICIP
2003
IEEE
15 years 11 months ago
Towards practical Wyner-Ziv coding of video
In current interframe video compression systems, the encoder performs predictive coding to exploit the similarities of successive frames. The Wyner-Ziv Theorem on source coding wi...
Anne Aaron, Eric Setton, Bernd Girod