Results 171 to 180 of about 4,123 (220)

Novel chemistry and structural perspectives in vitamin B₁₂-dependent radical SAM enzymes. [PDF]

Chem Sci
Berteau O, Teixeira Nunes M, Taraglio N, Legrand P, Benjdia A.   +4 more
europepmc   +1 more source

A fuzzy logic CBIR system

The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03., 2004
A fuzzy logic framework is proposed to alleviate two problems in traditional CBIR systems, including the semantic gap and the perception subjectivity. The proposed framework consists of two major parts, including (1) model construction and (2) query comparison.
Chih-Yi Chiu, Hsin-Chih Lin, Shi-Nine Yang   +2 more
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A novel CBIR system with WLLTSA and ULRGA

Neurocomputing, 2015
Abstract At present, relevance feedback (RF) has been widely applied in content-based image retrieval (CBIR) system. Local Regression and Global Alignment (LRGA) is a novel ranking algorithm used in CBIR system which utilizes RF technique. However, there are some problems in LRGA: (1) for handling the problem of out-of-sample, dimension reduction is ...
Qiao Hong
exaly   +2 more sources

Further results on dissimilarity spaces for hyperspectral images RF-CBIR

Pattern Recognition Letters, 2013
Content-Based Image Retrieval (CBIR) systems are powerful search tools in image databases that have been little applied to hyperspectral images. Relevance Feedback (RF) is an iterative process that uses machine learning techniques and user’s feedback to ...
MIGUEL A Veganzones, Mihai Datcu, Manuel Grana   +2 more
exaly   +2 more sources

A Framework for Benchmarking in CBIR

Multimedia Tools and Applications, 2003
Content-based image retrieval (CBIR) has been a very active research area for more than ten years. In the last few years the number of publications and retrieval systems produced has become larger and larger. Despite this, there is still no agreed objective way in which to compare the performance of any two of these systems.
Henning Müller, Wolfgang Müller 0001, Stéphane Marchand-Maillet, Thierry Pun, David McG. Squire   +4 more
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Incorporating Shape into Histograms for CBIR

Procedings of the British Machine Vision Conference 1999, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
George Gagaudakis, Paul L. Rosin
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Semantics and CBIR

Proceedings of the 2008 international conference on Content-based image and video retrieval, 2008
Medical CBIR (content-based image retrieval) applications pose unique challenges but at the same time offer many new opportunities. On one hand, while one can easily understand news or sports videos, a medical image is often completely incomprehensible to untrained eyes.
Xiang Sean Zhou, Sonja Zillner, Manuel Möller, Michael Sintek, Yiqiang Zhan, Arun Krishnan, Alok Gupta   +6 more
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Enhancement of Semantics in CBIR

Third International Conference on Information Technology and Applications (ICITA'05), 2005
Although much research has been done in the area of content based image retrieval (CBIR), little progress has been made to fully implement an engine solely based on the search of image content. This paper examines one of the basic problems in pattern recognition which highlights the difficulty in the area of content understanding in CBIR, i.e.
Ziqiang Feng, David Tien
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Extracting discriminative features for CBIR

Multimedia Tools and Applications, 2011
Developing low-dimensional discriminative features is crucial for content-based image retrieval (CBIR). In this paper, we present a square symmetrical local binary pattern (SSLBP) texture descriptor, which is a compact symmetrical-invariant variation of local binary pattern (LBP), then we propose a merging 2-class linear discriminant analysis (M2CLDA ...
Zhiping Shi 0002, Xi Liu 0009, Qingyong Li, Qing He 0003, Zhongzhi Shi   +4 more
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Segmentation of natural images for CBIR

Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170), 2002
Examines the problem of segmenting colour images into homogeneous regions for use in content based image retrieval (CBIR) or object recognition in general. Low level features provide intensity, colour and texture characteristics across the entire image. From these feature vectors a measure of local homogeneity is obtained. Through iterative modelling a
Paul Stefan Williams, Michael D. Alder
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