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Majalah Ilmiah Teknologi Elektro, 2018 — The difficulty of determining the right keywords to get the right image is the disadvantages of image search methods based on metadata keywords. Current technology developments lead to content-based image retrieval (CBIR).
I Gusti Ngurah Winanda Wijaksana +2 more
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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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Advanced Local Binary Patterns for Remote Sensing Image Retrieval [PDF]
, 2018 © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new ...
Demir, Begüm, Tekeste, Issayas
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Content Based Image Retrieval System Using NOHIS-tree
, 2012 Content-based image retrieval (CBIR) has been one of the most important research areas in computer vision. It is a widely used method for searching images in huge databases. In this paper we present a CBIR system called NOHIS-Search.
Taileb, Mounira
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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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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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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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When images work faster than words: The integration of content-based image retrieval with the Northumbria Watermark Archive [PDF]
, 2002 Information on the manufacture, history, provenance, identification, care and conservation of paper-based artwork/objects is disparate and not always readily available.
D. Kőnig +9 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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Direct kernel biased discriminant analysis: a new content-based image retrieval relevance feedback algorithm [PDF]
, 2006 In recent years, a variety of relevance feedback (RF) schemes have been developed to improve the performance of content-based image retrieval (CBIR). Given user feedback information, the key to a RF scheme is how to select a subset of image features to ...
Dacheng Tao +6 more
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