Results 41 to 50 of about 2,978 (220)
Noise Resilient Local Gradient Orientation for Content-Based Image Retrieval
International Journal of Optics, 2021 In a world of multimedia information, where users seek accurate results against search query and demand relevant multimedia content retrieval, developing an accurate content-based image retrieval (CBIR) system is difficult due to the presence of noise in
Samina Bilquees +5 more
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A parallel content-based image retrieval system using spark and tachyon frameworks
Journal of King Saud University: Computer and Information Sciences, 2021 With the huge increase of large-scale multimedia over Internet, especially images, building Content-Based Image Retrieval (CBIR) systems for large-scale images has become a big challenge.
Saliha Mezzoudj +3 more
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Knjižnica, 2007 With development of technology, large image databases have become reality. Pictures in these databases were mainly described with keywords, but due to insufficiency of such description, the need for different approach to image indexing and retrieval has ...
Tomaž Kranjc, Jasna Maver
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An Appraisal of Content-Based Image Retrieval (CBIR) Methods
Asian Journal of Research in Computer Science, 2019 Background: Content Based Image Retrieval (CBIR) is an aspect of computer vision and image processing that finds images that are similar to a given query image in a large scale database using the visual contents of images such as colour, texture, shape, and spatial arrangement of regions of interest (ROIs) rather than manually annotated textual ...
Iroju Olaronke +3 more
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The Use of QBIC Content-Based Image Retrieval System [PDF]
Journal of Library and Information Studies, 2004 The fast increase in digital images has caught increasing attention on the development of image retrieval technologies. Content-based image retrieval (CBIR) has become an important approach in retrieving image data from a large collection.
Ching-Yi Wu +2 more
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A Novel Technique for Shape Feature Extraction Using Content Based Image Retrieval
MATEC Web of Conferences, 2016 With the advent of technology and multimedia information, digital images are increasing very quickly. Various techniques are being developed to retrieve/search digital information or data contained in the image.
Dhanoa Jaspreet Singh, Garg Anupam
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Survey of Deep Feature Instance Level Image Retrieval Algorithms [PDF]
Jisuanji kexue yu tansuo, 2023 Content-based image retrieval algorithm (CBIR) aims to find semantically matching or similar images with query images. It analyzes visual content in a large number of image databases. It is important to obtain discriminant image representation by feature
JI Changqing, WANG Bingbing, QIN Jing, WANG Zumin
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An adaptive technique for content-based image retrieval [PDF]
, 2006 We discuss an adaptive approach towards Content-Based Image Retrieval. It is based on the Ostensive Model of developing information needs—a special kind of relevance feedback model that learns from implicit user feedback and adds a temporal notion to ...
Urban, J. +2 more
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Query-dependent metric learning for adaptive, content-based image browsing and retrieval [PDF]
, 2014 Content-based image retrieval (CBIR) systems often incorporate a relevance feedback mechanism in which retrieval is adapted based on users identifying images as relevant or irrelevant.
Han, Junwei, McKenna, Stephen; id_orcid
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Novel CBIR system based on Ripplet Transform using interactive Neuro-Fuzzy technique
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2012 Content Based Image Retrieval (CBIR) system is an emerging research area in effective digital data management paradigm. In this article, a novel CBIR system based on a new Multiscale Geometric Analysis (MGA)-tool, called Ripplet Transform Type-I (RT) is ...
Manish Chowdhury +2 more
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