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PCM
2007
Springer
109views Multimedia» more  PCM 2007»
15 years 5 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
15 years 3 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»
14 years 11 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
15 years 4 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
15 years 5 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