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» Textural Features and Relevance Feedback for Image Retrieval
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CLEF
2005
Springer
15 years 5 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
ICMCS
2007
IEEE
132views Multimedia» more  ICMCS 2007»
15 years 6 months ago
Client-Side Relevance Feedback Approach for Image Retrieval in Mobile Environment
With the proliferation of handheld devices, the demand of multimedia information retrieval on mobile devices has attracted more attention. A relevance feedback information retriev...
Ning Yu, Kien A. Hua, Danzhou Liu
ICMCS
2005
IEEE
184views Multimedia» more  ICMCS 2005»
15 years 5 months ago
Fuzzy relevance feedback in content-based image retrieval systems using radial basis function network
This paper presents a new framework called fuzzy relevance feedback in interactive content-based image retrieval (CBIR) systems based on soft-decision. An efficient learning appro...
Kim-Hui Yap, Kui Wu
ICIP
2007
IEEE
15 years 6 months ago
Estimating Missing Features to Improve Multimedia Retrieval
Retrieval in a multimedia database usually involves combining information from different modalities of data, such as text and images. However, all modalities of the data may not b...
Abraham Bagherjeiran, Nicole S. Love, Chandrika Ka...
ECCV
2004
Springer
16 years 1 months ago
Stretching Bayesian Learning in the Relevance Feedback of Image Retrieval
This paper is about the work on user relevance feedback in image retrieval. We take this problem as a standard two-class pattern classification problem aiming at refining the retri...
Ruofei Zhang, Zhongfei (Mark) Zhang