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PCM
2007
Springer
109views Multimedia» more  PCM 2007»
14 years 1 months ago
Modeling User Feedback Using a Hierarchical Graphical Model for Interactive Image Retrieval
Relevance feedback is an important mechanism for narrowing the semantic gap in content-based image retrieval and the process involves the user labeling positive and negative images...
Jian Guan, Guoping Qiu
CIKM
2006
Springer
13 years 11 months ago
IR principles for content-based indexing and retrieval of functional brain images
In this paper, we explore the concept of a "library of brain images", which implies not only a repository of brain images, but also efficient search and retrieval mechan...
Bing Bai, Paul B. Kantor, Nicu D. Cornea, Deborah ...
IJON
2008
184views more  IJON 2008»
13 years 7 months ago
Automatic medical image annotation and retrieval
The demand for automatically annotating and retrieving medical images is growing faster than ever. In this paper, we present a novel medical image retrieval method based on SEMIsu...
Jian Yao, Zhongfei (Mark) Zhang, Sameer Antani, L....
CLEF
2005
Springer
14 years 1 months ago
Combining Textual and Visual Features for Image Retrieval
This paper presents the approaches used by the MIRACLE team to image retrieval at ImageCLEF 2005. Text-based and content-based techniques have been tested, along with combination o...
José Luis Martínez-Fernández,...
SEMCO
2007
IEEE
14 years 2 months ago
Perceptual Shape-Based Natural Image Representation and Retrieval
Human visual recognition is based largely on shape, yet effectively using shapes in natural image retrieval is a challenging task. Most existing methods are based on the geometric...
Xiaofen Zheng, Scott A. Sherrill-Mix, Qigang Gao