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ECCV
2008
Springer
14 years 9 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
ICIP
2000
IEEE
14 years 9 months ago
Object Tracking by Adaptive Modeling
This paper addresses the problem of object tracking in image sequences. The approach taken is based upon adaptive statistical models. An object selected in a frame by a user is tr...
Andrei Rares, Marcel J. T. Reinders
VLSID
2002
IEEE
132views VLSI» more  VLSID 2002»
14 years 8 months ago
VLSI Architecture for a Flexible Motion Estimation with Parameters
If motion estimation can choose the most suitable algorithm according to the changing characteristics of input image signals, we can get benefits, which improve quality and perfor...
Jinku Choi, Nozomu Togawa, Masao Yanagisawa, Tatsu...
ICIP
2008
IEEE
14 years 2 months ago
Edge-based directional fuzzy filter for compression artifact reduction in JPEG images
We propose a novel method to reduce both blocking and ringing artifacts in compressed images and videos. Based on the directional characteristics of ringing artifacts along edges,...
Dung Trung Vo, Truong Q. Nguyen, Sehoon Yea, Antho...
ICIP
2008
IEEE
14 years 9 months ago
Directional motion-compensated spatio-temporal fuzzy filtering for quality enhancement of compressed video sequences
We propose a directional fuzzy lter to enhance the quality of compressed video sequences. A motion compensated spatiotemporal lter (MCSTF) is applied to intra-frame and inter-fram...
Dung Trung Vo, Truong Q. Nguyen