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MMM
2005
Springer
128views Multimedia» more  MMM 2005»
14 years 1 months ago
Feature Combination and Relevance Feedback for 3D Model Retrieval
Retrieval of 3D models have attracted much research interest, and many types of shape features have been proposed. In this paper, we describe a novel approach of combining the fea...
Indriyati Atmosukarto, Wee Kheng Leow, Zhiyong Hua...
ICIP
2002
IEEE
14 years 14 days 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
CLEF
2005
Springer
14 years 1 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»
14 years 1 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
ESWA
2008
127views more  ESWA 2008»
13 years 7 months ago
A two-level relevance feedback mechanism for image retrieval
Content-based image retrieval (CBIR) is a group of techniques that analyzes the visual features (such as color, shape, texture) of an example image or image subregion to find simi...
Pei-Cheng Cheng, Been-Chian Chien, Hao-Ren Ke, Wei...