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» Automatic Query Generation for Content-Based Image Retrieval
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VIP
2003
13 years 9 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
CISST
2004
164views Hardware» more  CISST 2004»
13 years 9 months ago
Probabilistic Region Relevance Learning for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
Iker Gondra, Douglas R. Heisterkamp
ISVC
2007
Springer
14 years 1 months ago
Automatic Image Representation for Content-Based Access to Personal Photo Album
Abstract. The proposed work exploits methods and techniques for automatic characterization of images for content-based access to personal photo libraries. Several techniques, even ...
Edoardo Ardizzone, Marco La Cascia, Filippo Vella
ECIR
1998
Springer
13 years 9 months ago
Content Based Annotation and Retrieval in RAIDER
A new system, RAIDER (Retrieval and Annotation of Image Databases), has been developed for the management of image databases. RAIDER was designed to combat the inadequacies and in...
Stephanie R. Fountain, Tieniu Tan
PG
2003
IEEE
14 years 24 days ago
Non-Photorealistic Rendering and Content-Based Image Retrieval
In this paper, we will show how non-photorealistic rendering (NPR) can take a new role in content-based image retrieval (CBIR). We propose a content-based image retrieval method. ...
Xiaowen Ji, Zoltan Kato, Zhiyong Huang