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» Content-Based Image Retrieval from Large Medical Databases
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JMLR
2010
141views more  JMLR 2010»
13 years 1 months ago
Pinview: Implicit Feedback in Content-Based Image Retrieval
This paper describes Pinview, a content-based image retrieval system that exploits implicit relevance feedback during a search session. Pinview contains several novel methods that...
Peter Auer, Zakria Hussain, Samuel Kaski, Arto Kla...
DANTE
1999
IEEE
144views Database» more  DANTE 1999»
13 years 11 months ago
Issues in Using Specifications to Improve Content-Based Search of Multimedia Data
Many current multimedia database management systems perform content-based retrieval of images by extracting the values of various features from every object stored in their system...
Leonard Brown, Le Gruenwald, Gregory D. Speegle
PAKDD
2009
ACM
263views Data Mining» more  PAKDD 2009»
14 years 1 months ago
Spatial Weighting for Bag-of-Visual-Words and Its Application in Content-Based Image Retrieval
It is a challenging and important task to retrieve images from a large and highly varied image data set based on their visual contents. Problems like how to fill the semantic gap b...
Xin Chen, Xiaohua Hu, Xiajiong Shen
ICDIM
2006
IEEE
14 years 22 days ago
Model-Driven Development of Content-Based Image Retrieval Systems
: Generic systems for content-based image retrieval (CBIR), such as QBIC [7] cannot be used to solve domain-specific image retrieval problems, as for example, the identification of...
Temenushka Ignatova
MTA
2000
165views more  MTA 2000»
13 years 6 months ago
Approximating Content-Based Object-Level Image Retrieval
Object-level image retrieval is an active area of research. Given an image, a human observerdoesnot see randomdots of colors. Rather,he she observesfamiliarobjectsin the image. The...
Wynne Hsu, Tat-Seng Chua, Hung Keng Pung