Image Search Process in the Web using Image Copy
Paul Nieuwenhuysen
Journal of Multimedia Processing and Technologies, Vol. 9, No. 4, 2018.
DOI: https://doi.org/10.6025/jmpt/2018/9/4/124-133
Link: http://www.dline.info/jmpt/fulltext/v9n4/jmptv9n4_2.pdf
Abstract:
Objective - The reported investigation aimed to assess the performance of services that offer search by image on
the Internet / WWW to find copies of a known image. The motivation is that finding copies of an image can be useful for several
purposes, while search by image is a relatively new method that allows finding such images and that is offered free of charge
by a few Internet search services. Furthermore, the context of each revealed image copy may yield relevant information.
Methods - Various images have been used in empirical case studies.
Results - Finding copies is positioned in a structured view of applications of reverse image searching. The concept â€˜copyâ€™ is
clarified and sharpened. Data have been collected regarding the performance of several contemporary services to find copies
of an image, namely TinEye, Google and Yandex.
Conclusions - The reported findings have revealed significant differences in the number of copies discovered and in the
precision of the search results. Therefore, all this may be helpful for users / practitioners to select and apply an appropriate
image search service to reveal copies of an image and even information that is related to the image.