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» Evaluating Image Retrieval
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CVPR
2004
IEEE
16 years 6 months ago
Object-Based Image Retrieval Using the Statistical Structure of Images
We propose a new Bayesian approach to object-based image retrieval with relevance feedback. Although estimating the object posterior probability density from few examples seems in...
Derek Hoiem, Rahul Sukthankar, Henry Schneiderman,...
MM
2000
ACM
99views Multimedia» more  MM 2000»
15 years 8 months ago
Scene identification in news video by character region segmentation
Reflecting the demand for recycling and retrieval of video, we are proposing an automatic indexing system for news video that considers correspondences between textual indices and...
Ichiro Ide, Reiko Hamada, Shuichi Sakai, Hidehiko ...
SAC
2005
ACM
15 years 10 months ago
Retrieving lightly annotated images using image similarities
Users’ search needs are often represented by words and images are retrieved according to such textual queries. Annotation words assigned to the stored images are most useful to ...
Masashi Inoue, Naonori Ueda
ICPR
2000
IEEE
16 years 5 months ago
A Weighted Distance Approach to Relevance Feedback
Content-based image retrievalsystems use low-levelfeatures like color and texturefor image representation. Given these representationsasfeature vectors, similarity between images ...
Selim Aksoy, Robert M. Haralick, Faouzi Alaya Chei...
ICDAR
2011
IEEE
14 years 4 months ago
Chinese Keyword Spotting Using Knowledge-Based Clustering
—Content-based document image retrieval is a new and promising research area. Without OCR, document indexing directly based on image content is more general and convenient. Howev...
Yong Xia, Kuanquan Wang, Mingwei Li