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ICIP
2008
IEEE
14 years 9 months ago
Describing low-level image features using the COMM ontology
We present an innovative approach for storing and processing extracted low-level image features based on current Semantic Web technologies. We propose to use the COMM multimedia o...
Carsten Saathoff, Miroslav Vacura, Raphaël Tr...
ICCV
2007
IEEE
14 years 9 months ago
Scene Modeling Using Co-Clustering
In this paper, we propose a novel approach for scene modeling. The proposed method is able to automatically discover the intermediate semantic concepts. We utilize Maximization of...
Jingen Liu, Mubarak Shah
ICIP
2001
IEEE
14 years 9 months ago
Capturing image semantics with low-level descriptors
: We conducted psychophysical experiments to gain insight into the semantic categories that guide the human perception of image similarity. We analyzed the perceptual data using mu...
Aleksandra Mojsilovic, Bernice E. Rogowitz
ICPR
2010
IEEE
13 years 12 months ago
Efficient Semantic Indexing for Image Retrieval
Semantic analysis of a document collection can be viewed as an unsupervised clustering of the constituent words and documents around hidden or latent concepts. This has shown to i...
Chandrika Pulla, Suman Karthik, C. V. Jawahar
CIVR
2006
Springer
126views Image Analysis» more  CIVR 2006»
13 years 11 months ago
Semantics Supervised Cluster-Based Index for Video Databases
High-dimensional index is one of the most challenging tasks for content-based video retrieval (CBVR). Typically, in video database, there exist two kinds of clues for query: visual...
Zhiping Shi, Qingyong Li, Zhiwei Shi, Zhongzhi Shi