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Tagging and Clustering of Objects in Videos

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IJCA Proceedings on National Conference on Recent Trends in Computing
© 2012 by IJCA Journal
NCRTC - Number 3
Year of Publication: 2012
Authors:
Vikrant Gangan
C. N. S. Sisma
Monisha Menon
Aditya Gupta

Vikrant Gangan, C N S Sisma, Monisha Menon and Aditya Gupta. Article: Tagging and Clustering of Objects in Videos. IJCA Proceedings on National Conference on Recent Trends in Computing NCRTC(3):23-25, May 2012. Full text available. BibTeX

@article{key:article,
	author = {Vikrant Gangan and C. N. S. Sisma and Monisha Menon and Aditya Gupta},
	title = {Article: Tagging and Clustering of Objects in Videos},
	journal = {IJCA Proceedings on National Conference on Recent Trends in Computing},
	year = {2012},
	volume = {NCRTC},
	number = {3},
	pages = {23-25},
	month = {May},
	note = {Full text available}
}

Abstract

"Tagging" in videos is an extension of the image tagging application. Just as people can be tagged in images, a system can be developed to carry out tagging in video clips. Using this, people can automatically be identified ("tagged") wherever they are present in a video clip. The paper discusses the design of the system which identifies the real world objects in a video clip. The object to be searched can be provided by the user in the form of an image. The object is specified by a user outlining it in an image, and the object is then delineated in the retrieved shots. The aim is to detect and track presence of required objects in a video and for thesearching to be view-point invariant. Finally, the searched object can be tracked throughout the video by clustering all of its occurrences into a single video. This can be used for analyzing any possible changes the object might have undergone during the length of the video.

References

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