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» Mixture model based contextual image retrieval
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105
Voted
ICMCS
2006
IEEE
215views Multimedia» more  ICMCS 2006»
15 years 5 months ago
Experiential Sampling based Foreground/Background Segmentation for Video Surveillance
Segmentation of foreground and background has been an important research problem arising out of many applications including video surveillance. A method commonly used for segmenta...
Pradeep K. Atrey, Vinay Kumar, Anurag Kumar, Mohan...
PR
2002
88views more  PR 2002»
14 years 10 months ago
Indexing chromatic and achromatic patterns for content-based colour image retrieval
In this paper, we present a method to represent achromatic and chromatic image signals independently for content-based image indexing and retrieval for image database applications...
Guoping Qiu
87
Voted
TMM
2002
117views more  TMM 2002»
14 years 10 months ago
Rotation invariant texture characterization and retrieval using steerable wavelet-domain hidden Markov models
We present a new statistical model for characterizing texture images based on wavelet-domain hidden Markov models. With a small number of parameters, the new model captures both th...
Minh N. Do, Martin Vetterli
69
Voted
ICPR
2004
IEEE
16 years 7 days ago
Iterative Figure-Ground Discrimination
Figure-ground discrimination is an important problem in computer vision. Previous work usually assumes that the color distribution of the figure can be described by a low dimensio...
Liang Zhao, Larry S. Davis
ICMCS
2008
IEEE
186views Multimedia» more  ICMCS 2008»
15 years 5 months ago
Dissimilarity measures for content-based image retrieval
Dissimilarity measurement plays a crucial role in contentbased image retrieval. In this paper, sixteen core dissimilarity measures are introduced and evaluated. We carry out a sys...
Rui Hu, Stefan M. Rüger, Dawei Song, Haiming ...