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» Content Based Retrieval System for Archaeological Images
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ICPR
2004
IEEE
14 years 8 months ago
Entropy-Based Measures for Clustering and SOM Topology Preservation Applied to Content-Based Image Indexing and Retrieval
Content-based image retrieval (CBIR) addresses the problem of finding images relevant to the users' information needs, based principally on low-level visual features for whic...
Markus Koskela, Jorma Laaksonen, Erkki Oja
ICIP
2000
IEEE
14 years 9 months ago
Distributional Clustering for Efficient Content-Based Retrieval of Images and Video
In this paper, we presentan approach to clustering images for efficient retrieval using relative entropy. We start with the assumption that visual features are represented by prob...
Giridharan Iyengar, Andrew Lippman
DAS
2008
Springer
13 years 9 months ago
Document Image Retrieval to Support Reading Mokkans
This paper presents a design and an implementation of document image retrieval to support reading mokkans. A mokkan is a wooden tablet with text written by a brush in India ink. D...
Akihito Kitadai, Jun Takakura, Masatoshi Ishikawa,...
ICIAR
2004
Springer
14 years 27 days ago
Segmentation Using Saturation Thresholding and Its Application in Content-Based Retrieval of Images
We analyze some of the visual properties of the HSV (Hue, Saturation and Value) color space and develop an image segmentation technique using the results of our analysis. In our me...
A. Vadivel, M. Mohan, Shamik Sural, Arun K. Majumd...
ICCV
2009
IEEE
13 years 5 months ago
A multi-sample, multi-tree approach to bag-of-words image representation for image retrieval
The state-of-the-art content based image retrieval sys
Zhong Wu, Qifa Ke, Jian Sun, Heung-Yeung Shum