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» Video Objects Segmentation by Robust Background Modeling
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ICIP
1997
IEEE
16 years 7 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
15 years 11 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»
15 years 7 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
15 years 9 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