Call for Paper - March 2023 Edition
IJCA solicits original research papers for the March 2023 Edition. Last date of manuscript submission is February 20, 2023. Read More

Tagging and Clustering of Objects in Videos

IJCA Proceedings on National Conference on Recent Trends in Computing
© 2012 by IJCA Journal
NCRTC - Number 3
Year of Publication: 2012
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

	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}


"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.


  • Jia Wang and Wei Tsang Ooi, "Detecting Static Objects in a Busy Scene," Department of Computer Science, Cornell University, Ithaca, Technical Report TR99-1730, Feb. 8, 1999.
  • "Automatic image annotation," http://en. wikipedia. org/wiki/Automatic_image_annotation, June 20, 2011.
  • "Content-based image retrieval," http://en. wikipedia. org/wiki/Content-based_image_retrieval. html, September 16, 2011.
  • "Facebook Wins Patents For Tagging in Photos, Other Digital Media," http://www. insidefacebook. com/2011/05/17/facebook-patent-photo-tagging. html, May 17, 2011.