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» Automatic Query Generation for Content-Based Image Retrieval
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ICIP
2009
IEEE
13 years 5 months ago
Content-based image retrieval: An application to tattoo images
Tattoo images on human body have been routinely collected and used in law enforcement to assist in suspect and victim identification. However, the current practice of matching tat...
Anil K. Jain, Jung-Eun Lee, Rong Jin, Nicholas Gre...
MM
2009
ACM
187views Multimedia» more  MM 2009»
14 years 9 days ago
Convex experimental design using manifold structure for image retrieval
Content Based Image Retrieval (CBIR) has become one of the most active research areas in computer science. Relevance feedback is often used in CBIR systems to bridge the semantic ...
Lijun Zhang, Chun Chen, Wei Chen, Jiajun Bu, Deng ...
ECIR
2009
Springer
14 years 4 months ago
Exploiting Visual Concepts to Improve Text-Based Image Retrieval
In this paper, we study how to automatically exploit visual concepts in a text-based image retrieval task. First, we use Forest of Fuzzy Decision Trees (FFDTs) to automatically ann...
Sabrina Tollari, Marcin Detyniecki, Christophe Mar...
ESWA
2008
127views more  ESWA 2008»
13 years 7 months ago
A two-level relevance feedback mechanism for image retrieval
Content-based image retrieval (CBIR) is a group of techniques that analyzes the visual features (such as color, shape, texture) of an example image or image subregion to find simi...
Pei-Cheng Cheng, Been-Chian Chien, Hao-Ren Ke, Wei...
CIKM
2003
Springer
14 years 26 days ago
Extracting unstructured data from template generated web documents
We propose a novel approach that identifies web page templates and extracts the unstructured data. Extracting only the body of the page and eliminating the template increases the ...
Ling Ma, Nazli Goharian, Abdur Chowdhury, Misun Ch...