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» Content-Based Image Retrieval Using Multiple Representations
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MIR
2005
ACM
140views Multimedia» more  MIR 2005»
15 years 3 months ago
Multiple random walk and its application in content-based image retrieval
In this paper, we propose a transductive learning method for content-based image retrieval: Multiple Random Walk (MRW). Its basic idea is to construct two generative models by mea...
Jingrui He, Hanghang Tong, Mingjing Li, Wei-Ying M...
ICIP
2005
IEEE
15 years 3 months ago
Content-based medical image retrieval using dynamically optimized regional features
This paper proposes a content-based medical image retrieval (CBMIR) framework using dynamically optimized features from multiple regions of medical images. These regional features...
Wei Xiong, Bo Qiu, Qi Tian, Changsheng Xu, Sim Hen...
ICDE
2000
IEEE
189views Database» more  ICDE 2000»
15 years 11 months ago
Image Database Retrieval with Multiple-Instance Learning Techniques
In this paper, we develop and test an approach to retrieving images from an image database based on content similarity. First, each picture is divided into many overlapping region...
Cheng Yang, Tomás Lozano-Pérez
ICIAP
2003
ACM
15 years 9 months ago
Multiscale Fourier descriptor for shape classification
The description of the object shape is an important characteristic of the image. In image processing and pattern recognition, several different shape descriptors are used. In huma...
Iivari Kunttu, Leena Lepistö, Juhani Rauhamaa...
MMDB
2003
ACM
94views Multimedia» more  MMDB 2003»
15 years 3 months ago
Improving image retrieval effectiveness via multiple queries
Conventional approaches to image retrieval are based on the assumption that relevant images are physically near the query image in some feature space. This is the basis of the clu...
Xiangyu Jin, James C. French