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  • 标题:A Review of Hashing based Image Copy Detection Techniques
  • 本地全文:下载
  • 作者:Mayank Srivastava ; Jamshed Siddiqui ; Mohammad Athar Ali
  • 期刊名称:Cybernetics and Information Technologies
  • 印刷版ISSN:1311-9702
  • 电子版ISSN:1314-4081
  • 出版年度:2019
  • 卷号:19
  • 期号:2
  • 页码:3-27
  • DOI:10.2478/cait-2019-0012
  • 出版社:Bulgarian Academy of Science
  • 摘要:Images are considered to be natural carriers of information, and a large number of images are created, exchanged and are made available online. Apart from creating new images, the availability of number of duplicate copies of images is a critical problem. Hashing based image copy detection techniques are a promising alternative to address this problem. In this approach, a hash is constructed by using a set of unique features extracted from the image for identification. This article provides a comprehensive review of the state-of-the-art image hashing techniques. The reviewed techniques are categorized by the mechanism used and compared across a set of functional & performance parameters. The article finally highlights the current issues faced by such systems and possible future directions to motivate further research work.
  • 关键词:Image forensics; Digital watermarking; Image copy detection; Hashing; based image copy detection.
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