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Retrieval of Multimedia Information Using Content-Based Image Retrieval (CBIR) Techniques
2017This chapter will focus on the concept of Content-based image retrieval. Searching of an image or video database based on text based description is a manual labor intensive process. Descriptions of the file are usually typed manually for each image by human operators because the automatic generation of keywords for the images is difficult without ...
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Impact of feature selection on the performance of content-based image retrieval (CBIR)
2014 4th International Symposium ISKO-Maghreb: Concepts and Tools for knowledge Management (ISKO-Maghreb), 2014CBIR is based on indexation of signatures that capture aspects of the image. In this paper, we propose a mechanism to weight the contribution of these signatures in the calculation of the final similarity between the query and the database images. This approach personalizes the search for each given query.
Slimane Benloucif, Bachir Boucheham
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An effective content Based Image Retrieval (CBIR) system based on evolutionary programming (EP)
2012 IEEE International Conference on Advanced Communication Control and Computing Technologies (ICACCCT), 2012This paper introduces a content Based Image Retrieval (CBIR) based on evolutionary algorithm. Initially, the shape, color and texture feature is extracted for the given query image and also for the of the database images in a similar manner. Subsequently, similar images are retrieved utilizing an evolutionary algorithm based similarity.
Sunita Manoj Jadhav, Vikram Patil
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An Efficient Content-Based Image Retrieval (CBIR) Using GLCM for Feature Extraction
2017Today, modern technology led to a faster growth of digital media collection, and it contains both still images and videos. Storage devices contain large amount of digital images, increasing the response time of a system to retrieve images required from such collections, which degrades the performance.
P. Chandana +4 more
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Advancements in Non-Linear Content-Based Image Retrieval (CBIR) Systems for Image Analysis
Communications on Applied Nonlinear AnalysisContent-Based Image Retrieval (CBIR) systems have witnessed significant advancements in recent years, particularly in the domain of medical image analysis. This paper provides an introductory overview of these advancements in CBIR systems tailored for medical image analysis.
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A visual–language foundation model for pathology image analysis using medical Twitter
Nature Medicine, 2023, Thomas J Montine, James Y Zou
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Cbir-Gan: A Triplet Generative Adversarial Network for Content-Based Image Retrieval
SSRN Electronic Journal, 2022Narges Norouzi +3 more
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Image-based profiling for drug discovery: due for a machine-learning upgrade?
Nature Reviews Drug Discovery, 2020Srinivas Niranj Chandrasekaran +2 more
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