Authors :
Meenakshi Kondal; Dr. Virender Singh
Volume/Issue :
Volume 7 - 2022, Issue 3 - March
Google Scholar :
http://bitly.ws/gu88
Scribd :
https://bit.ly/3ujCr9I
DOI :
https://doi.org/10.5281/zenodo.6378256
Abstract :
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.
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.
