Comparative Analysis of Tineye and Google Reverse Image Search Engines

Authors : Meenakshi Kondal; Dr. Virender Singh

Volume/Issue : Volume 7 - 2022, Issue 3 - March

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Daily on the web, huge amount of photos are there and it is difficult for us to locate authorized image. To find out the origin of a picture, an image search engine, which is an excellent tool, helps us. Searching can be based on similar pictures, keywords or links to an image which help to find deliberate images from different pictures warehouse. Image retrieval is the technique of retrieving, looking, and browsing the pictures from a data ware house. Search engines allow us to understand pick images and the background in which they are placed. At the same time, it is difficult for search engines to transliterate user’s search results by keywords and this develops into ambiguous which is removed from acceptable. So it is necessary to use a primary-based fulfilled search to clear up the inconsistency in image retrieval. This is very helpful and an excellent utensil for those who are in digital marketing to see, if any using photo changes without permission. If there’s any copyright violation, we can address the matter. This paper discusses the idea and functioning of image search engines. From well-liked search engines, we have chosen images for presentation and diagnosis of the results. In this paper, two image search engines tineye and google reverse image search, officially called google search, were evaluated on the basis of their search capabilities and response time; Google chrome was used as the web browser for the study.

Keywords : Reverse Image Search, Transliterate, Image Retrieval.


Paper Submission Last Date
30 - April - 2024

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