Results 51 to 60 of about 2,978 (220)
Efficient Content-Based Image Retrieval System with Two-Tier Hybrid Frameworks
Applied Computer Systems, 2022 The Content Based Image Retrieval (CBIR) system is a framework for finding images from huge datasets that are similar to a given image. The main component of CBIR system is the strategy for retrieval of images.
Shaheen Fatima, Raibagkar R. L.
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Remote Sensing, 2021 As the volume of remotely sensed data grows significantly, content-based image retrieval (CBIR) becomes increasingly important, especially for cloud computing platforms that facilitate processing and storing big data in a parallel and distributed way ...
Peng Zheng +8 more
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An overview of content-based image retrieval techniques (CBIR)
IOSR Journal of Computer Engineering, 2016 In the current situation, the image plays a vital role in any aspect of life such as commercial images, satellite images, and medical images and so on. By analyzing this data, useful information can be obtaining for future uses. Image retrieval methods are divided into two general categories: 1. text-based image retrieval.
Narjes Fathi +2 more
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Evaluating a workspace's usefulness for image retrieval [PDF]
, 2006 Image searching is a creative process. We have proposed a novel image retrieval system that supports creative search sessions by allowing the user to organise their search results on a workspace. The workspace’s usefulness is evaluated in a task-oriented
Urban, J., Jose, J., Jose, J. M.
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An Efficient Similarity Measure for Color-Based Image Retrieval [PDF]
مجلة التربية والعلم, 2008 Similarity measures are an important factor in the Content-Based Image Retrieval (CBIR). This paper finds the most efficient similarity measure from four image similarity measures.
Israa Khidher, Kais Ismail
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, 2006 Over the past few years, inter-query learning has gained much attention in the research and development of content-based image retrieval (CBIR) systems.
Li, J.B. +7 more
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Query-sensitive similarity measure for content-based image retrieval using meta-heuristic algorithm
Journal of King Saud University: Computer and Information Sciences, 2018 Content based image retrieval (CBIR) systems retrieve images linked to the query image (QI) from enormous databases. The feature sets extracted by the present CBIR systems are limited. This limits the systems’ effectiveness.
Mutasem K. Alsmadi
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Computer Assisted Methods in Engineering and Science, 2021 Over the past few decades multimedia content, particularly digital images, has increased at a rapid pace, with several complex images being uploaded to various social websites such as Instagram, Facebook and Twitter. Therefore, it is difficult to search
Faiyaz Ahmad, Tanvir Ahmad
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Gaze-Dependent Image Re-Ranking Technique for Enhancing Content-Based Image Retrieval
Applied Sciences, 2023 Content-based image retrieval (CBIR) aims to find desired images similar to the image input by the user, and it is extensively used in the real world. Conventional CBIR methods do not consider user preferences since they only determine retrieval results ...
Yuhu Feng +3 more
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Adaptive image retrieval using a graph model for semantic feature integration [PDF]
, 2006 The variety of features available to represent multimedia data constitutes a rich pool of information. However, the plethora of data poses a challenge in terms of feature selection and integration for effective retrieval.
Urban, J. +4 more
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