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» Evaluating Image Retrieval
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ICMCS
2008
IEEE
156views Multimedia» more  ICMCS 2008»
15 years 11 months ago
A fuzzy statistical correlation-based approach to content-based image retrieval
This paper presents an effective fuzzy long-term semantic learning method for relevance feedback-based image retrieval. The proposed system uses a statistical correlationbased met...
Xiaojun Qi, Ran Chang
CBMS
2006
IEEE
15 years 11 months ago
Automatic Medical Image Annotation and Retrieval Using SECC
The demand for automatically annotating and retrieving medical images is growing faster than ever. In this paper, we present a novel medical image annotation method based on the p...
Jian Yao, Sameer Antani, L. Rodney Long, George R....
ICIP
2002
IEEE
15 years 10 months ago
A graphic-theoretic model for incremental relevance feedback in image retrieval
Many traditional relevance feedback approaches for CBIR can only achieve limited short-term performance improvement without benefiting long-term performance. To remedy this limita...
Yueting Zhuang, Jun Yang 0003, Qing Li, Yunhe Pan
LREC
2008
137views Education» more  LREC 2008»
15 years 6 months ago
Combining Multiple Models for Speech Information Retrieval
In this article we present a method for combining different information retrieval models in order to increase the retrieval performance in a Speech Information Retrieval task. The...
Muath Alzghool, Diana Inkpen
ISVC
2005
Springer
15 years 10 months ago
Using Linguistic Models for Image Retrieval
This research addresses the problem of image retrieval by exploring the semantic relationships that exist between image annotations. This is done by using linguistic relationships ...
Brian Zambrano, Rahul Singh, Bibek Dev Bhattarai