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» Video Objects Segmentation by Robust Background Modeling
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ICIP
1997
IEEE
14 years 9 months ago
Detecting and Solving Template Ambiguities in Motion Segmentation
When the color or gray level of a moving object is very similar to that of the background, motion-based segmentation methods fail. This leads to ambiguous templates for the moving...
José M. F. Moura, Pedro M. Q. Aguiar
ICIP
2005
IEEE
14 years 1 months ago
Robust highlight extraction using multi-stream hidden Markov models for baseball video
This paper proposes a robust statistical framework to extract highlights from a baseball broadcast video. We applied multistream Hidden Markov Models (HMMs) to control the weights...
Nguyen Huu Bach, Koichi Shinoda, Sadaoki Furui
SPIESR
1998
190views Database» more  SPIESR 1998»
13 years 9 months ago
NeTra-V: Toward an Object-Based Video Representation
We present here a prototype video analysis and retrieval system, called NeTra-V, that is being developed to build an object-based video representation for functionalities such as s...
Yining Deng, Debargha Mukherjee, B. S. Manjunath
ACIVS
2006
Springer
13 years 12 months ago
Constrained Region-Growing and Edge Enhancement Towards Automated Semantic Video Object Segmentation
Most existing object segmentation algorithms suffer from a so-called under-segmentation problem, where parts of the segmented object are missing and holes often occur inside the ob...
L. Gao, J. Jiang, S. Y. Yang