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» Image Retrieval and Annotation Using Maximum Entropy
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ICIP
2002
IEEE
14 years 9 months ago
Semantic based categorization, browsing and retrieval in medical image databases
Content-based retrieval (CBIR) methods in medical databases have been designed to support specific tasks, such as retrieval of digital mammograms or 3D MRI images. These methods c...
Aleksandra Mojsilovic, José Gomes
AINA
2007
IEEE
14 years 1 months ago
Mining Visual Knowledge for Multi-Lingual Image Retrieval
Users commonly rely just on scarce textual annotation when their searches for images are semantic or conceptual based. Rich visual information is often thrown away in basic annota...
Masashi Inoue
ICCV
2011
IEEE
12 years 7 months ago
Actively Selecting Annotations Among Objects and Attributes
We present an active learning approach to choose image annotation requests among both object category labels and the objects’ attribute labels. The goal is to solicit those labe...
Adriana Kovashka, Sudheendra Vijayanarasimhan, Kri...
CIVR
2004
Springer
111views Image Analysis» more  CIVR 2004»
14 years 1 months ago
An Inference Network Approach to Image Retrieval
Most image retrieval systems only allow a fragment of text or an example image as a query. Most users have more complex information needs that are not easily expressed in either of...
Donald Metzler, R. Manmatha
MM
2005
ACM
167views Multimedia» more  MM 2005»
14 years 1 months ago
Evaluation axes for medical image retrieval systems: the imageCLEF experience
Content–based image retrieval in the medical domain is an extremely hot topic in medical imaging as it promises to help better managing the large amount of medical images being ...
Henning Müller, Paul Clough, William R. Hersh...