SEARCHING VIDEO BLOGS WITH INTEGRATION OF CONTEXT AND CONTENT ANALYSIS

CATHERINE CHITRA¹*, ANITHA JULIAN²*
¹Department of Computer Science and Engineering, Velammal Engineering College, Chennai
²Department of Computer Science and Engineering, Velammal Engineering College, Chennai
* Corresponding Author : anitha_julian@yahoo.com

Received : -     Accepted : -     Published : 15-06-2010
Volume : 1     Issue : 1       Pages : 2 - 5
Int J Comput Intell Tech 1.1 (2010):2-5

Keywords : Annotation expansion, ranking, saliency-based matching, vlog annotation, vlog search
Conflict of Interest : None declared
Acknowledgements/Funding : First of all I thank the almighty for giving me the knowledge and courage to complete this project work successfully. I express my gratitude to our respected principal Dr. J. Shanmugam for his constant support and encouragement. My sincere thanks to t

Now a day’s video blogs are playing an important role. To effectively manage the vlogs and make them more conveniently accessible for users is a challenging problem. In this paper we proposed a novel vlog management model which is consists of two stages: annotation and search. In Vlog annotation, we extract informative keywords not only from the textual content of the target vlog itself but also from external resources which are semantically and visually relevant to it. Sentiment evaluation obtained from comments. In vlog search we adopt saliency based matching to make the search results. We use different ranking strategies are adapted to the user.

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