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文章基本信息

  • 标题:A Robust Image Retrieval Algorithm by Utilizing Encrypted Visual and Textual Features
  • 本地全文:下载
  • 作者:Soumya Sharma ; Piyush Jain
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2017
  • 卷号:6
  • 期号:2
  • 页码:162-168
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:As the large number of internet users are increasing day by day. So digital data of those users are also increasing, now this increase of data has attracted many researchers. Searching the relevant images from the collection of dataset is an important issue. In this paper two important features are utilize first is textual while second is visual one. For maintaining the privacy of the dataset on server image retrieval process is done on encrypted data. Here model takes two input first one include the textual query while second include visual query. Both query is encrypted first than pass to the servers for comparison with dataset textual and visual features. Encrypted user text query makes initial ranking of the dataset images than Co-Occurrence matrix feature of the visual query makes final ranking of the image. So proposed work provide retrieval of image in high protective environment with less execution time. Experiment was done on real and artificial set of images. Result shows that proposed work is better on different evaluation parameters as compare to previous existing methods.
  • 关键词:Annotation; Image retrieval; Feature extraction; Re-ranking; Visual contents.
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