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» A Distance Measure for Video Sequences
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IDA
2003
Springer
14 years 2 months ago
Similarity-Based Neural Networks for Applications in Computational Molecular Biology
This paper presents an alternative to distance-based neural networks. A distance measure is the underlying property on which many neural models rely, for example self-organizing ma...
Igor Fischer
ICPR
2006
IEEE
14 years 10 months ago
Anomaly Detection for Video Surveillance Applications
We investigate the problem of anomaly detection for video surveillance applications. In our approach, we use a compression-based similarity measure to determine similarity between...
Carmen E. Au, James J. Clark, Sandra Skaff
MM
2010
ACM
238views Multimedia» more  MM 2010»
13 years 9 months ago
Supervised manifold learning for image and video classification
This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...
Yang Liu, Yan Liu, Keith C. C. Chan
ISCAS
2005
IEEE
209views Hardware» more  ISCAS 2005»
14 years 2 months ago
Low complexity H.263 to H.264 video transcoding using motion vector decomposition
The H.264 adopts various block types and multiple reference frames for motion compensation. For transcoding a video sequence from the H.263 format to the H.264 format, it is benef...
Kai-Tat Fung, Wan-Chi Siu
RIAO
2000
13 years 10 months ago
Statistical motion-based video indexing and retrieval
We propose an original approach for the characterization of video dynamic content with a view to supplying new functionalities for motion-based video indexing and retrieval with q...
Ronan Fablet, Patrick Bouthemy, P. Perez