Results 31 to 40 of about 36,977,793 (187)
Image Retrieval Berdasarkan Fitur Warna, Bentuk, dan Tekstur
ComTech, 2014 Along with the times, information retrieval is no longer just on textual data, but also the visual data. The technique was originally used is Text-Based Image Retrieval (TBIR), but the technique still has some shortcomings such as the relevance of the ...
Rita Layona +2 more
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A clinically motivated self-supervised approach for content-based image retrieval of CT liver images [PDF]
Comput. Medical Imaging Graph., 2022 Deep learning-based approaches for content-based image retrieval (CBIR) of computed tomography (CT) liver images is an active field of research, but suffer from some critical limitations.
Kristoffer Wickstrøm +5 more
semanticscholar +1 more source
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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Content-based image retrieval: A review of recent trends
Cogent Engineering, 2021 With the availability of internet technology and the low-cost of digital image sensor, enormous amount of image databases have been created in different kind of applications.
I. M. Hameed +2 more
semanticscholar +1 more source
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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Co-attention enabled content-based image retrieval
Neural Networks, 2023 Content-based image retrieval (CBIR) aims to provide the most similar images to a given query. Feature extraction plays an essential role in retrieval performance within a CBIR pipeline.
Zechao Hu, A. Bors
semanticscholar +1 more source
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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The Optimisation of Elementary and Integrative Content-Based Image Retrieval Techniques [PDF]
Image retrieval plays a major role in many image processing applications. However, a number of factors (e.g. rotation, non-uniform illumination, noise and lack of spatial information) can disrupt the outputs of image retrieval systems such that they ...
Aboaisha, Hosain
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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
doaj +1 more source