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» Content-Based Color Image Retrieval with Relevance Feedback
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108
Voted
MM
2000
ACM
87views Multimedia» more  MM 2000»
15 years 8 months ago
Giving meanings to WWW images
Images are increasingly being embedded in HTML documents on the WWW. Such documents over the WWW essentially provides a rich source of image collection from which users can query....
Heng Tao Shen, Beng Chin Ooi, Kian-Lee Tan
175
Voted
MM
2004
ACM
167views Multimedia» more  MM 2004»
15 years 9 months ago
Learning an image manifold for retrieval
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
Xiaofei He, Wei-Ying Ma, HongJiang Zhang
141
Voted
CIKM
2010
Springer
15 years 2 months ago
Visual-semantic graphs: using queries to reduce the semantic gap in web image retrieval
We explore the application of a graph representation to model similarity relationships that exist among images found on the Web. The resulting similarity-induced graph allows us t...
Barbara Poblete, Benjamin Bustos, Marcelo Mendoza,...
109
Voted
ICMCS
2007
IEEE
192views Multimedia» more  ICMCS 2007»
15 years 10 months ago
Effective Extraction of Gabor Features for Adaptive Mammogram Retrieval
Breast cancer is one of the most common diseases among women. Content-based mammogram retrieval has been proposed to aid various medical procedures. To develop a content-based mam...
Chia-Hung Wei, Yue Li, Chang-Tsun Li
165
Voted
SAC
2003
ACM
15 years 8 months ago
Improving Image Retrieval Effectiveness in Query-by-Example Environment
Query-by-example is the most popular query model for today’s image retrieval systems. A typical query image contains not only relevant objects (e.g., Eiffel Tower), but also ir...
Khanh Vu, Kien A. Hua, Ning Jiang