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CLEF
2005
Springer
15 years 6 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
CBMS
2005
IEEE
15 years 6 months ago
Relevance Feedback for Spine X-ray Retrieval
Relevance feedback (RF) has been an active research area in Content-based Image Retrieval (CBIR). RF intends to bridge the gap between the low-level image features and the high-le...
Xiaoqian Xu, D. J. Lee, Sameer Antani, L. Rodney L...
SIGMOD
2003
ACM
237views Database» more  SIGMOD 2003»
16 years 23 days ago
Qcluster: Relevance Feedback Using Adaptive Clustering for Content-Based Image Retrieval
The learning-enhanced relevance feedback has been one of the most active research areas in content-based image retrieval in recent years. However, few methods using the relevance ...
Deok-Hwan Kim, Chin-Wan Chung
ICDE
2006
IEEE
191views Database» more  ICDE 2006»
16 years 2 months ago
Query Decomposition: A Multiple Neighborhood Approach to Relevance Feedback Processing in Content-based Image Retrieval
Today's Content-Based Image Retrieval (CBIR) techniques are based on the "k-nearest neighbors" (kNN) model. They retrieve images from a single neighborhood using lo...
Kien A. Hua, Ning Yu, Danzhou Liu
96
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CIVR
2005
Springer
107views Image Analysis» more  CIVR 2005»
15 years 6 months ago
Region Filtering Using Color and Texture Features for Image Retrieval
This paper presents a region-based image retrieval (RBIR) system in which users can choose specific regions as the query. Our goal is to assist the user to formulate more precise q...
Cheng-Chieh Chiang, Ming-Han Hsieh, Yi-Ping Hung, ...