Reverse Image Lookup System

Authors

  • Mrs. Anusha Palreddy
  • Mayur Ashok Bhupta
  • Kantekar Neha
  • Kiran Padma Ravi
  • R.Charan Kumar Reddy

DOI:

https://doi.org/10.53555/sfs.v10i1.1225

Keywords:

Reverse Image Search, CBIR, Image Retrieval, MSER, RIS, Visual Search Engine

Abstract

Reverse image lookup system is a content-based image retrieval (CBIR) query technique that involves providing the CBIR system with a sample image that it will then base its search upon; in terms of information retrieval, the sample image is what formulates a search query. In particular, reverse image search is characterized by a lack of search terms. This effectively removes the need for a user to guess at keywords or terms that may or may not return a correct result. Reverse image search also allows users to discover content that is related to a specific sample image. Reverse image search may be used to: Locate the source of an image, find higher resolution versions, discover webpages where the image appears, Find the content creator, and Get information about an image

Author Biographies

  • Mrs. Anusha Palreddy

    Assistant professor, Dept of CSE,  Sreyas Institute of Engineering and Technology

  • Mayur Ashok Bhupta

    Ug scholar, Dept of CSE, Sreyas Institute of Engineering and Technology

  • Kantekar Neha

    Ug scholar, Dept of CSE, Sreyas Institute of Engineering and Technology

  • Kiran Padma Ravi

    Ug scholar, Dept of CSE, Sreyas Institute of Engineering and Technology

  • R.Charan Kumar Reddy

    Ug scholar, Dept of CSE, Sreyas Institute of EngineeringandTechnology.

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Published

2023-06-28

Issue

Section

Articles