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» Steganalyzing Texture Images
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ICIP
2003
IEEE
16 years 6 months ago
Object localization using texture motifs and Markov random fields
This work presents a novel approach to object localization in complex imagery. In particular, the spatial extents of objects characterized by distinct spatial signatures at multip...
Shawn Newsam, Sitaram Bhagavathy, B. S. Manjunath
ICIP
2003
IEEE
16 years 6 months ago
Object-based video compression scheme with optimal bit allocation among shape, motion and texture
In object-based video, the encoding of the video data is decoupled into the encoding of shape, motion and texture information, which enables certain functionalities like content-b...
Haohong Wang, Guido M. Schuster, Aggelos K. Katsag...
ICMCS
2005
IEEE
137views Multimedia» more  ICMCS 2005»
15 years 10 months ago
Modeling Dynamic Textures Using Subspace Mixtures
In this paper, we aim at modeling video sequences that exhibit temporal appearance variation. The dynamic texture model proposed in [6] is effective to model simple dynamic scene...
Che-Bin Liu, Ruei-Sung Lin, Narendra Ahuja

Publication
286views
15 years 5 months ago
 Stereo analysis of low textured regions with application towards sea-ice reconstruction
Images with large areas of low texture pose significant challenge to stereo algorithms. We propose a novel segmentation based stereo scheme tuned to handle such scenes. We combine ...
Rohith MV, Gowri Somanath, Chandra Kambhamettu, Ca...
ICIP
1998
IEEE
15 years 9 months ago
A Statistical Method for Discrimination of Natural Terrain Types from SAR Data
In this paper we propose a method for discrimination of underlying textural structures from spotlight-mode synthetic aperture radar (SAR) returns by using a tomographic data acqui...
Müjdat Çetin, William Clement Karl