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» Using Linguistic Models for Image Retrieval
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ICCV
2007
IEEE
14 years 9 months ago
Graph-Cut Transducers for Relevance Feedback in Content Based Image Retrieval
Closing the semantic gap in content based image retrieval (CBIR) basically requires the knowledge of the user's intention which is usually translated into a sequence of quest...
Hichem Sahbi, Jean-Yves Audibert, Renaud Keriven
TIFS
2010
307views more  TIFS 2010»
13 years 6 months ago
Face matching and retrieval using soft biometrics
—Soft biometric traits embedded in a face (e.g., gender and facial marks) are ancillary information and are not fully distinctive by themselves in face-recognition tasks. However...
Unsang Park, Anil K. Jain
SIGIR
2004
ACM
14 years 1 months ago
Focused named entity recognition using machine learning
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
Li Zhang, Yue Pan, Tong Zhang
PR
2002
202views more  PR 2002»
13 years 7 months ago
Illumination color covariant locale-based visual object retrieval
Search by Object Model -- finding an object inside a target image -- is a desirable and yet difficult mechanism for querying multimedia data. An added difficulty is that objects c...
Mark S. Drew, Ze-Nian Li, Zinovi Tauber
ICIP
2007
IEEE
14 years 9 months ago
Semantics-Based Video Indexing using a Stochastic Modeling Approach
Semantic video indexing is the first step towards automatic video retrieval and personalization. We propose a data-driven stochastic modeling approach to perform both video segmen...
Yong Wei, Suchendra M. Bhandarkar, Kang Li