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  Authors

Syed Qamrul Kazmi,Munindra Kumar Singh,Saurabh Pal

  Keywords

Data Mining, Content based image retrieval, Clustering, Feature extraction

  Abstract


The proliferation of digital cameras, social media platforms, and online image-sharing services has led to an enormous amount of images being created and shared every day. This explosion in the volume of images presents both opportunities and challenges, particularly in the field of content-based image retrieval (CBIR) and image management. We can have rich visual content, data input for various image related tasks and creating innovative applications. By applying cutting-edge machine learning and deep learning techniques as well as investigating cutting-edge indexing and retrieval strategies, researchers and developers are always attempting to improve CBIR algorithms. Large image files may now be stored and processed more effectively as an introduction of distributed storage and cloud computing technologies. The industry is developing quickly to take advantage of the potential provided by the abundance of visual content that is already available. This approach makes use of an image's size, texture, and dominating colors. The analysis of image data is the focus of the emerging data mining subfield known as image mining. Images can be retrieved from a vast dataset using a variety of techniques. However, they have some shortcomings. In order to extract data from images, this research uses image mining techniques including clustering and associations rules mining. Additionally, it combines multimodal elements including visual and textual components

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2308314

  Paper ID - 242539

  Author type -

  Page Number(s) - c910-c918

  Pubished in - Volume 11 | Issue 8 | August 2023

  DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.35795

  No Of Downloads - 221

  Author Country - INDIA, 211016, PRAYAGRAJ, PRAYAGRAJ, 211016,

  Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Published Paper PDF : - http://www.ijcrt.org/papers/IJCRT2308314

  Published Paper URL: : - http://ijcrt.org/viewfull.php?&p_id=IJCRT2308314

  Published Paper PDF Downlaod: - download.php?file=IJCRT2308314

  Cite this article

Syed Qamrul Kazmi,Munindra Kumar Singh,Saurabh Pal,   "Content Based Image Retrieval Using Color And Texture Features Derived By Machine Learning And Data Mining Techniques", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 8, pp.c910-c918, August 2023, Available at :http://www.ijcrt.org/papers/IJCRT2308314.pdf

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The International Journal of Creative Research Thoughts (IJCRT) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world.

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