Results 41 to 50 of about 36,977,793 (187)
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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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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Design of Feature Extraction in Content Based Image Retrieval (CBIR) using Color and Texture
, 2011 Retrieval of images based on visual features such as color, texture and shape have proven to have its own set of limitations under different conditions.
S. V. Sakhare +2 more
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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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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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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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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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Object extraction as a basic process for content-based image retrieval (CBIR) system
, 2007 This article describes the way in which image is prepared for content-based image retrieval system. Automated image extraction is crucial; especially, if we take into consideration the fact that the feature selection is still a task performed by human ...
T. Jaworska
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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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