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» Learning to compress images and videos
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ICIP
2003
IEEE
15 years 11 months ago
Feature selection for unsupervised discovery of statistical temporal structures in video
We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...
Lexing Xie, Shih-Fu Chang, Ajay Divakaran, Huifang...
ICIP
2006
IEEE
15 years 11 months ago
A Lifting-Based Wavelet Transform Supporting Non-Dyadic Spatial Scalability
In subband image and video compression, the issue of dyadic spatial scalability with a downsizing ratio of 2:1 has already been widely investigated. In some application scenarios,...
Ruiqin Xiong, Jizheng Xu, Feng Wu
CVPR
2008
IEEE
15 years 12 months ago
Extracting a fluid dynamic texture and the background from video
Given the video of a still background occluded by a fluid dynamic texture (FDT), this paper addresses the problem of separating the video sequence into its two constituent layers....
Bernard Ghanem, Narendra Ahuja
ECCV
2002
Springer
15 years 11 months ago
Neuro-Fuzzy Shadow Filter
In video sequence processing, shadow remains a major source of error for object segmentation. Traditional methods of shadow removal are mainly based on colour difference threshold...
Benny P. L. Lo, Guang-Zhong Yang
MM
2006
ACM
158views Multimedia» more  MM 2006»
15 years 3 months ago
Extreme video retrieval: joint maximization of human and computer performance
We present an efficient system for video search that maximizes the use of human bandwidth, while at the same time exploiting the machine’s ability to learn in real-time from use...
Alexander G. Hauptmann, Wei-Hao Lin, Rong Yan, Jun...