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A State-of-the art Review: A survey on Multimedia Tagging Techniques

Authors(2) :-Kirubai Dhanaraj, Rajkumar Kannan

Social media prevails in every walk of our life. Multimedia shared through social networks has tremendously increased the need for efficient retrieval methods and expects more accuracy in terms of annotating an existing image or video. Retrieval methods and annotation techniques are two sides in the development of an efficient multimedia retrieval system. Annotating the image and video is a challenging task. Collaborative user annotations can be incorporated into multimedia to increase the efficiency and accuracy in the retrieval methods. Collaborative user annotations are useful for two reasons: (i) Multi-label annotation for a multimedia is possible with less time-consuming even for large-scale image corpus (ii) Correlation between images and videos build a multi-class label propagation without much human effort and in reduced cost. There are many areas of research the collaborative annotations are incorporated with small modification in the existing machine learning algorithms. This survey paper presents the state-of-the-art annotation techniques for multimedia in the new era.
Kirubai Dhanaraj, Rajkumar Kannan
Image annotation, video annotation, automatic approach, social annotation, collaborative annotation, crowdsourcing
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Publication Details
  Published in : Volume 4 | Issue 5 | March-April 2018
  Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 377-386
Manuscript Number : IJSRST184568
Publisher : Technoscience Academy
PRINT ISSN : 2395-6011
ONLINE ISSN : 2395-602X
Cite This Article :
Kirubai Dhanaraj, Rajkumar Kannan, "A State-of-the art Review: A survey on Multimedia Tagging Techniques", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 4, Issue 5, pp.377-386, March-April-2018.
Journal URL : http://ijsrst.com/IJSRST184568

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