A Survey of Multimodal Image Retrieval Systems

  • Unique Paper ID: 168561
  • Volume: 11
  • Issue: 5
  • PageNo: 1311-1325
  • Abstract:
  • Nowadays multi model images are plays vital role in human day to day life. With the rapid growth of communication technology and the development of social networks and smartphones, the amount of data stored by users in the form of images has significantly increased. Therefore, several researchers have focused on the field of image retrieval in the past decade. Image retrieval means retrieving the most similar images to the query sample from a vast image database in terms of content and semantic. In this paper, we are focusing the survey of the multi model image retrieval system by using multi domain images in the understandable manner.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{168561,
        author = {Dr.T.Dharani and T V Manohar},
        title = {A Survey of Multimodal Image Retrieval Systems},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {5},
        pages = {1311-1325},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=168561},
        abstract = {Nowadays multi model images are plays vital role in human day to day life.  With the rapid growth of communication technology and the development of social networks and smartphones, the amount of data stored by users in the form of images has significantly increased. Therefore, several researchers have focused on the field of image retrieval in the past decade. Image retrieval means retrieving the most similar images to the query sample from a vast image database in terms of content and semantic.  In this paper, we are focusing the survey of the multi model image retrieval system by using multi domain images in the understandable manner.},
        keywords = {PBIR, Pattern, Multidomain, Image Retrieval System, Unlabeled Images.},
        month = {October},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 5
  • PageNo: 1311-1325

A Survey of Multimodal Image Retrieval Systems

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