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<record>
  <title>Image Search Process in the Web using Image Copy</title>
  <journal>Journal of Multimedia Processing and Technologies</journal>
  <author>Paul Nieuwenhuysen</author>
  <volume>9</volume>
  <issue>4</issue>
  <year>2018</year>
  <doi>https://doi.org/10.6025/jmpt/2018/9/4/124-133</doi>
  <url>http://www.dline.info/jmpt/fulltext/v9n4/jmptv9n4_2.pdf</url>
  <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.</abstract>
</record>
