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» Combining Textual and Visual Features for Image Retrieval
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CLEF
2005
Springer
15 years 3 months ago
Content-Based Retrieval of Medical Images by Combining Global Features
A combination of several classifiers using global features for the content description of medical images is proposed. Beside well known texture histogram features, downscaled repr...
Mark Oliver Güld, Christian Thies, Benedikt F...
TMM
2002
140views more  TMM 2002»
14 years 9 months ago
Narrowing the semantic gap - improved text-based web document retrieval using visual features
In this paper, we present the results of our work that seek to negotiate the gap between low-level features and high-level concepts in the domain of web document retrieval. This wo...
Rong Zhao, William I. Grosky
IIR
2010
14 years 11 months ago
Thinking of a System for Image Retrieval
Increasing applications are demanding effective and efficient support to perform retrieval in large collections of digital images. The work presented here is an early stage resear...
Giovanna Castellano, Gianluca Sforza, Maria Alessa...
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CLEF
2005
Springer
15 years 3 months ago
A Corpus-Based Relevance Feedback Approach to Cross-Language Image Retrieval
This paper regards images with captions as a cross-media parallel corpus, and presents a corpus-based relevance feedback approach to combine the results of visual and textual runs....
Yih-Chen Chang, Wen-Cheng Lin, Hsin-Hsi Chen
MMS
2006
14 years 9 months ago
A probabilistic semantic model for image annotation and multi-modal image retrieval
This paper addresses automatic image annotation problem and its application to multi-modal image retrieval. The contribution of our work is three-fold. (1) We propose a probabilis...
Ruofei Zhang, Zhongfei (Mark) Zhang, Mingjing Li, ...