ComparativeAnalysis of Automated Image-Tagging Techniques

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 6

Abstract

 Abstract: Smart phones with cameras having powerful built-in sensors tend to meet at a point towards theproblem of automatic image-tagging. So such an out-of-band approach is valuable, especially with increasingdevice density and greater sophistication in sensing and learning algorithms. This paper shows that automatictagging of images with relevant tags is possible by using a combination of the capture of location, the date/timewhen the image was captured, and an image category. Comparison of various automatic image-taggingapproaches has been done so as to develop a new system with a dynamic approach for using multiple imageswhen possible, and fewer images when not many relevant images are found

Authors and Affiliations

Mayuresh Jakhotia, Mithun Sanghvi,Shubham Shah , Dheeraj Agarwal

Keywords

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  • EP ID EP110906
  • DOI -
  • Views 115
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How To Cite

Mayuresh Jakhotia, Mithun Sanghvi, Shubham Shah, Dheeraj Agarwal (2014).  ComparativeAnalysis of Automated Image-Tagging Techniques. IOSR Journals (IOSR Journal of Computer Engineering), 16(6), 53-56. https://europub.co.uk/articles/-A-110906