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EMMCVPR
2005
Springer
14 years 28 days ago
Object Categorization by Compositional Graphical Models
This contribution proposes a compositionality architecture for visual object categorization, i.e., learning and recognizing multiple visual object classes in unsegmented, cluttered...
Björn Ommer, Joachim M. Buhmann
ETRA
2008
ACM
235views Biometrics» more  ETRA 2008»
13 years 9 months ago
Using semantic content as cues for better scanpath prediction
Under natural viewing conditions, human observers use shifts in gaze to allocate processing resources to subsets of the visual input. There are many computational models that try ...
Moran Cerf, E. Paxon Frady, Christof Koch
SIGIR
2008
ACM
13 years 7 months ago
Learning to reduce the semantic gap in web image retrieval and annotation
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...
Changhu Wang, Lei Zhang 0001, Hong-Jiang Zhang
ICMCS
2007
IEEE
131views Multimedia» more  ICMCS 2007»
14 years 1 months ago
Semantic Retrieval with Enhanced Matchmaking and Multi-Modality Ontology
This paper presents a method for automatically annotating and retrieving animal images. Our model is a multi-modality ontology extended from our previous works in the sense that b...
Huan Wang, Liang-Tien Chia, Song Liu
ICCV
2005
IEEE
14 years 1 months ago
Object Categorization by Learned Universal Visual Dictionary
This paper presents a new algorithm for the automatic recognition of object classes from images (categorization). Compact and yet discriminative appearance-based object class mode...
John M. Winn, Antonio Criminisi, Thomas P. Minka