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» Textural Features and Relevance Feedback for Image Retrieval
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ICIP
2002
IEEE
16 years 1 months ago
Learning similarity space
In this study, we suggest a method to adapt an image retrieval system into a configurable one. Basically, original feature space of a content-based retrieval system is nonlinearly...
Abdurrahman Çarkacioglu, Fatos T. Yarman-Vu...
VISUAL
1999
Springer
15 years 4 months ago
Blobworld: A System for Region-Based Image Indexing and Retrieval
Blobworld is a system for image retrieval based on nding coherent image regions which roughly correspond to objects. Each image is automatically segmented into regions  blobs"...
Chad Carson, Megan Thomas, Serge Belongie, Joseph ...
DAGM
2004
Springer
15 years 5 months ago
Adaptive Feature Selection in Image Segmentation
Most image segmentation algorithms optimize some mathematical similarity criterion derived from several low-level image features. One possible way of combining different types of f...
Volker Roth, Tilman Lange
CLEF
2004
Springer
15 years 5 months ago
MSU at ImageCLEF: Cross Language and Interactive Image Retrieval
Abstract. In this report, we describe our studies with cross language and interactive image retrieval in ImageCLEF 2004. Typical cross language retrieval requires special linguisti...
Vineet Bansal, Chen Zhang, Joyce Y. Chai, Rong Jin
SIBGRAPI
2008
IEEE
15 years 6 months ago
Color Descriptors for Web Image Retrieval: A Comparative Study
This paper presents a comparative study of color descriptors for content-based image retrieval on the Web. Several image descriptors were compared theoretically and the most relev...
Otávio Augusto Bizetto Penatti, Ricardo da ...