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» The Meaning of an Image in Content-Based Image Retrieval
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MVA
2000
203views Computer Vision» more  MVA 2000»
15 years 1 months ago
An Environment to Test Progressive Refinement of Indexing for Content-Based Image Retrieval
Content-based image retrieval is a fairly new discipline. Yet research in this field has highlighted many approaches that show good performance in specific subproblems using singl...
Maria Grazia Albanesi, Marco Ferretti, Alessandro ...
ICPR
2000
IEEE
16 years 1 months ago
Feature Relevance Learning with Query Shifting for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...
Douglas R. Heisterkamp, Jing Peng, H. K. Dai
103
Voted
ICPR
2002
IEEE
15 years 5 months ago
Empirical Evaluation of MPEG-7 XM Color Descriptors in Content-Based Retrieval of Semantic Image Categories
This paper conducts an empirical evaluation of MPEG-7 visual part of experimentation model (XM) color descriptors in a challenging problem of content-based retrieval of semantic i...
Timo Ojala, Markus Aittola, Esa Matinmikko
108
Voted
ICTAI
1999
IEEE
15 years 4 months ago
Spatial Color Histograms for Content-Based Image Retrieval
Color histogram is an important technique for color image database indexing and retrieving. In this paper, traditional color histogram is modified to capture spatial layout informa...
Aibing Rao, Rohini K. Srihari, Zhongfei Zhang
IDEAL
2005
Springer
15 years 6 months ago
Kernel Biased Discriminant Analysis Using Histogram Intersection Kernel for Content-Based Image Retrieval
It is known that no single descriptor is powerful enough to encompass all aspects of image content, i.e. each feature extraction method has its own view of the image content. A pos...
Lin Mei, Gerd Brunner, Lokesh Setia, Hans Burkhard...