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  • 标题:A Survey of Methods used for Fast Retrieval of Images in Large scale dataset
  • 本地全文:下载
  • 作者:S.Kalaiarasi ; T.P.Senthilkumar
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2013
  • 卷号:4
  • 期号:8-1
  • 出版社:Seventh Sense Research Group
  • 摘要:An image retrieval system is a technique used in computer system for searching and retrieving images from a large set of database of digital images. Most common and traditional methods of image retrieval used some techniques for adding metadata such as keywords, captions, or description to the images. By doing this, the retrieval of image can be done based on these annotated words. Manual image annotation consumes larger time, laborious and expensive too. To address this issue, large number of research has been done on automatic image annotation. In addition, social web applications and semantic web increasing rapidly, this has been inspired the development of various web based image annotation tools. The rapid evolution of the Internet and the explosive growth of the visual contents of the Web, image search in large scale has attracted considerable attention. The ability of fast similarity search of an image in a largescale dataset is a research issue which is under consideration. The following work is analysis over the image retrieval in large database through various mechanisms available in the literature.
  • 关键词:location privacy; resource aware algorithm ; wireless sensor networks(WSN)
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