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MM
2005
ACM
171views Multimedia» more  MM 2005»
15 years 12 months ago
Semantic manifold learning for image retrieval
Learning the user’s semantics for CBIR involves two different sources of information: the similarity relations entailed by the content-based features, and the relevance relatio...
Yen-Yu Lin, Tyng-Luh Liu, Hwann-Tzong Chen
CIVR
2008
Springer
106views Image Analysis» more  CIVR 2008»
15 years 8 months ago
Scalable Markov model-based image annotation
In this paper, we propose a novel Markov model-based formulation for the image annotation problem. In this formulation, we treat image annotation as a graph ranking problem, by de...
Changhu Wang, Lei Zhang, Hong-Jiang Zhang
IADIS
2004
15 years 7 months ago
The outline of an 'intelligent' image retrieval engine
The first image retrieval systems hold the advantage of being fully automatic, and thus scalable to large collections of images but are restricted to the representation of low-lev...
Mohammed Belkhatir, Philippe Mulhem, Yves Chiarame...
ICCV
2009
IEEE
15 years 4 months ago
Image annotation using multi-label correlated Green's function
Image annotation has been an active research topic in the recent years due to its potentially large impact on both image understanding and web/database image search. In this paper...
Hua Wang, Heng Huang, Chris H. Q. Ding
IJCV
2007
147views more  IJCV 2007»
15 years 6 months ago
Vision-Based SLAM: Stereo and Monocular Approaches
Building a spatially consistent model is a key functionality to endow a mobile robot with autonomy. Without an initial map or an absolute localization means, it requires to concurr...
Thomas Lemaire, Cyrille Berger, Il-Kyun Jung, Simo...