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文章基本信息

  • 标题:To Study the Ways to Annotate Images Manual, Semi-Automatic and Fully Automatic inM2S and CAIR
  • 本地全文:下载
  • 作者:Kirti Raheja ; Deepti Gupta
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2011
  • 卷号:2
  • 期号:4
  • 页码:1725-1728
  • 出版社:TechScience Publications
  • 摘要:Images are commonly used on a daily basis for research, information and entertainment. The introduction of digital cameras and especially the incorporation of cameras in mobile phones make people able to snap photos almost everywhere at any time since their mobile phone is almost always brought with them. The fast evolution in hardware enables users to store large image collection without high costs. Making use of these image collections requires efficient image retrieval techniques. Traditional image retrieval techniques like text-based image retrieval and content-based image retrieval techniques have shortcomings. New techniques or combination of existing techniques must be established to provide users with adequate image retrieval functionality.
  • 关键词:API:-Application Programming Interface; CAIM:-;Context-Aware Image Management CAIR:-Context Aware;Image retrieval; CBIR:-Content-Based Image Retrieval; M2S:-;MMS To Search; MMS:-Multimedia Messaging System
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