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MIR
2003
ACM
174views Multimedia» more  MIR 2003»
15 years 5 months ago
Content-based image retrieval by clustering
In a typical content-based image retrieval (CBIR) system, query results are a set of images sorted by feature similarities with respect to the query. However, images with high fea...
Yixin Chen, James Ze Wang, Robert Krovetz
204
Voted
ICDE
2002
IEEE
209views Database» more  ICDE 2002»
16 years 1 months ago
Geometric-Similarity Retrieval in Large Image Bases
We propose a novel approach to shape-based image retrieval that builds upon a similarity criterion which is based on the average point set distance. Compared to traditional techni...
Ioannis Fudos, Leonidas Palios, Evaggelia Pitoura
172
Voted
VCIP
2003
238views Communications» more  VCIP 2003»
15 years 1 months ago
Texture segmentation based on features in wavelet domain for image retrieval
Texture is a fundamental feature which provides significant information for image classification, and is an important content used in content-based image retrieval (CBIR) system. ...
Ying Liu, Si Wu, Xiaofang Zhou
112
Voted
VISUAL
1999
Springer
15 years 4 months ago
Relevance Feedback and Term Weighting Schemes for Content-Based Image Retrieval
This paper describes the application of techniques derived from text retrieval research to the content-based querying of image databases. Speci cally, the use of inverted les, fre...
David Squire, Wolfgang Müller 0002, Henning M...
MIR
2005
ACM
141views Multimedia» more  MIR 2005»
15 years 6 months ago
A mutual semantic endorsement approach to image retrieval and context provision
Learning semantics from annotated images to enhance content-based retrieval is an important research direction. In this paper, annotation data are assumed available for only a sub...
Jia Li