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» Feature selection for content-based image retrieval
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ICMCS
2000
IEEE
137views Multimedia» more  ICMCS 2000»
13 years 12 months ago
Automatic Query Generation for Content-Based Image Retrieval
We describe a subsystem of a content-based image retrieval (CBIR) environment that supports a user in the definition of image similarity. Out of a single image or a set of query i...
Christian Breiteneder, Horst Eidenberger
CVPR
2008
IEEE
14 years 9 months ago
Private Content Based Image Retrieval
For content level access, very often database needs the query as a sample image. However, the image may contain private information and hence the user does not wish to reveal the ...
Jagarlamudi Shashank, Palivela Kowshik, Kannan Sri...
ICIP
2000
IEEE
14 years 9 months ago
Incorporate Support Vector Machines to Content-Based Image Retrieval with Relevant Feedback
By using relevance feedback [6], Content-Based Image Retrieval (CBIR) allows the user to retrieve images interactively. The user can select the most relevant images and provide a ...
Pengyu Hong, Qi Tian, Thomas S. Huang
SSPR
1998
Springer
13 years 11 months ago
Semantic Content Based Image Retrieval Using Object-Process Diagrams
Abstract. The increase in accessability to on-line visual data has promoted the interest in browsing and retrieval of images from Image Databases. Current approaches assume either ...
Dov Dori, Hagit Zabrodsky Hel-Or
MLDM
2001
Springer
13 years 12 months ago
Adaptive Query Shifting for Content-Based Image Retrieval
: Despite the efforts to reduce the semantic gap between user perception of similarity and featurebased representation of images, user interaction is essential to improve retrieval...
Giorgio Giacinto, Fabio Roli, Giorgio Fumera