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ICMCS
2006
IEEE
194views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Object Tracking in Compressed Video with Confidence Measures
In this paper, a novel robust tracking algorithm in compressed video is proposed. Within the framework of video compression standards, we consider how to accurately estimate motio...
Lan Dong, Imad Zoghlami, Stuart C. Schwartz
ICMCS
2006
IEEE
159views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Image Vector Quantization Indices Recovery using Lagrange Interpolation
Vector quantization (VQ) is an efficient coding algorithm due to its fast decoding efficiency. Indices of VQ will be lost during the transmission because of the signal interferenc...
Yung-Gi Wu, Chia-Hao Wu
ICIP
2004
IEEE
14 years 9 months ago
Motion estimation in high resolution image reconstruction from compressed video sequences
In order to obtain a high resolution image from a compressed video sequence it is essential to correctly estimate the motion vectors in the sequence. Most of the approaches report...
Luis D. Alvarez, Rafael Molina, Aggelos K. Katsagg...
ICIP
2008
IEEE
14 years 9 months ago
Kalman filtered Compressed Sensing
We consider the problem of reconstructing time sequences of spatially sparse signals (with unknown and time-varying sparsity patterns) from a limited number of linear "incohe...
Namrata Vaswani
ICMLA
2003
13 years 8 months ago
A Distributed Reinforcement Learning Approach to Pattern Inference in Go
— This paper shows that the distributed representation found in Learning Vector Quantization (LVQ) enables reinforcement learning methods to cope with a large decision search spa...
Myriam Abramson, Harry Wechsler