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VIP
2003
14 years 10 months ago
Relevance Feedback for Content-Based Image Retrieval Using Bayesian Network
Relevance feedback is a powerful query modification technique in the field of content-based image retrieval. The key issue in relevance feedback is how to effectively utilize the ...
Jing Xin, Jesse S. Jin
CLEF
2008
Springer
14 years 11 months ago
Methods for Combining Content-Based and Textual-Based Approaches in Medical Image Retrieval
This paper describes our participation in the Medical Image Retrieval task of Image CLEF 2008. Our aim was to evaluate different combination methods for purely textual and visual ...
Mouna Torjmen, Karen Pinel-Sauvagnat, Mohand Bough...
JUCS
2002
231views more  JUCS 2002»
14 years 9 months ago
Efficient Content-Based and Metadata Retrieval in Image Database
: Managing image data in a database system using metadata has been practiced since the last two decades. However, describing an image fully and adequately with metadata is practica...
Solomon Atnafu, Richard Chbeir, Lionel Brunie
94
Voted
ICIP
2000
IEEE
15 years 11 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
15 years 1 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