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» Textural Features and Relevance Feedback for Image Retrieval
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ICMCS
2005
IEEE
221views Multimedia» more  ICMCS 2005»
15 years 5 months ago
A Multiple Instance Learning Approach for Content Based Image Retrieval Using One-Class Support Vector Machine
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. In this paper, we propose an approach based on On...
Chengcui Zhang, Xin Chen, Min Chen, Shu-Ching Chen...
ICMCS
2006
IEEE
155views Multimedia» more  ICMCS 2006»
15 years 5 months ago
Region-Based Image Retrieval using Radial Basis Function Network
This paper presents a new framework that integrates relevance feedback into region-based image retrieval (RBIR) systems based on radial basis function network (RBFN). A modified u...
Kui Wu, Kim-Hui Yap, Lap-Pui Chau
ECIR
2006
Springer
15 years 1 months ago
Can a Workspace Help to Overcome the Query Formulation Problem in Image Retrieval?
We have proposed a novel image retrieval system that incorporates a workspace where users can organise their search results. A task-oriented and usercentred experiment has been dev...
Jana Urban, Joemon M. Jose
DIAL
2004
IEEE
138views Image Analysis» more  DIAL 2004»
15 years 3 months ago
Retrieving Imaged Documents in Digital Libraries Based on Word Image Coding
A great number of documents are scanned and archived in the form of digital images in digital libraries, to make them available and accessible in the Internet. Information retriev...
Yue Lu, Li Zhang, Chew Lim Tan
ICIP
2001
IEEE
16 years 1 months ago
Word shape recognition for image-based document retrieval
In this paper, we propose a word shape recognition method for retrieving image-based documents. Document images are segmented at the word level first. Then the proposed method det...
Weihua Huang, Chew Lim Tan, Sam Yuan Sung, Yi Xu