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» Textural Features and Relevance Feedback for Image Retrieval
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CIKM
2009
Springer
15 years 6 months ago
Adaptive relevance feedback in information retrieval
Relevance Feedback has proven very effective for improving retrieval accuracy. A difficult yet important problem in all relevance feedback methods is how to optimally balance the...
Yuanhua Lv, ChengXiang Zhai
EVOW
2010
Springer
15 years 6 months ago
Content-Based Image Retrieval of Skin Lesions by Evolutionary Feature Synthesis
This paper gives an example of evolved features that improve image retrieval performance. A content-based image retrieval system for skin lesion images is presented. The aim is to ...
Lucia Ballerini, Xiang Li, Robert B. Fisher, Ben A...
JMM
2007
109views more  JMM 2007»
14 years 11 months ago
Multi-Feature Integration with Relevance Feedback on 3D Model Similarity Retrieval
In this paper, we combine the use of Reduced Feature Vector Integration (RFI) and Distance Integration (DI) with Relevance Feedback (RF) on 3D model similarity retrieval. The RFI ...
Saiful Akbar, Josef Küng, Roland Wagner
MMM
2005
Springer
128views Multimedia» more  MMM 2005»
15 years 5 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
15 years 4 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