Results 161 to 170 of about 4,998 (209)
A novel approach for identification of zoonotic trypanosome utilizing deep metric learning and vector database-based image retrieval system. [PDF]
HeliyonKittichai V +8 more
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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 +2 more
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A novel CBIR system with WLLTSA and ULRGA
Neurocomputing, 2015Abstract 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 ...
Liu Shenglan
exaly +2 more sources
A new approach for texture classification in CBIR
International Journal of Computer Applications in Technology, 2010In the field of Content-Based Image Retrieval (CBIR), the semantic understanding of textures has long been a difficult problem, especially the texture classification. This paper proposes a new approach for texture classification, which adopts ten words describing textures in natural language.
Mingxia Liu
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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 ...
Mihai Datcu, Miguel A Veganzones
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A Framework for Benchmarking in CBIR
Multimedia Tools and Applications, 2003Content-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 +4 more
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Enhancement of Semantics in CBIR
Third International Conference on Information Technology and Applications (ICITA'05), 2005Although 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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Incorporating Shape into Histograms for CBIR
Procedings of the British Machine Vision Conference 1999, 1999zbMATH Open Web Interface contents unavailable due to conflicting licenses.
George Gagaudakis, Paul L. Rosin
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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 +6 more
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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 +6 more
openaire +2 more sources
2006
From the computational point of view, Content-based Im- age Retrieval systems are potentially expensive and have user response times growing with the ever-increasing sizes of the databases associated to them This paper presents a grid implementation of a Content-based Image Retrieval system that offers a good cost/performance ratio to solve this ...
Oscar David Robles +3 more
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From the computational point of view, Content-based Im- age Retrieval systems are potentially expensive and have user response times growing with the ever-increasing sizes of the databases associated to them This paper presents a grid implementation of a Content-based Image Retrieval system that offers a good cost/performance ratio to solve this ...
Oscar David Robles +3 more
openaire +1 more source