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» Mixture model based contextual image retrieval
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ICMCS
2006
IEEE
215views Multimedia» more  ICMCS 2006»
15 years 10 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»
15 years 3 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
130
Voted
TMM
2002
117views more  TMM 2002»
15 years 3 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
ICPR
2004
IEEE
16 years 5 months 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
131
Voted
ICMCS
2008
IEEE
186views Multimedia» more  ICMCS 2008»
15 years 10 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 ...