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ICIP
2005
IEEE
14 years 9 months ago
Joint feature-spatial-measure space: a new approach to highly efficient probabilistic object tracking
In this paper we present a probabilistic framework for tracking objects based on local dynamic segmentation. We view the segn to be a Markov labeling process and abstract it as a ...
Feng Chen, XiaoTong Yuan, ShuTang Yang
NIPS
2008
13 years 9 months ago
A "Shape Aware" Model for semi-supervised Learning of Objects and its Context
We present an approach that combines bag-of-words and spatial models to perform semantic and syntactic analysis for recognition of an object based on its internal appearance and i...
Abhinav Gupta, Jianbo Shi, Larry S. Davis
ICMCS
2005
IEEE
153views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Improved semantic region labeling based on scene context
Semantic region labeling in outdoor scenes, e.g., identifying sky, grass, foliage, water, and snow, facilitates content-based image retrieval, organization, and enhancement. A maj...
Matthew R. Boutell, Jiebo Luo, Christopher M. Brow...
FUIN
2006
90views more  FUIN 2006»
13 years 7 months ago
Local Computations in Graphs: The Case of Cellular Edge Local Computations
We examine the power and limitations of the weakest vertex relabelling system which allows to change a label of a vertex in function of its own label and of the label of one of its...
Jérémie Chalopin, Yves Métivi...
ICIP
2008
IEEE
14 years 9 months ago
Shot classification for action movies based on motion characteristics
In this paper, we propose a shot classification method for action movies. Considering that motion characteristic is very important for semantic movie analysis, and it contains abu...
Shuhui Wang, Shuqiang Jiang, Qingming Huang, Wen G...