Ontology based video annotation for transportation domain
Abstract & Details
Research Area
Computer Engineering
Keywords
Video annotation
domain ontology
Key frame extraction
SIFT feature extraction
classifier
Abstract
Video provides more information than other forms. By looking the popularity of video data on the internet tremendous video database is created with every increasing minute so we need a proper approach to handle such database and these problem solved by video annotation. Video contains sequence of frames instead of analyzing all the frames extract those frames which contain more information with the help of canny edge detector and for identification different classifier are trained for different objects and identified object represent in ontology structure.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Nayana Agwan | SRES, College of Engineering Kopargaon. |
| 2 | Kajal Davange | SRES, College of Engineering Kopargaon. |
| 3 | Poonam Kanade | SRES, College of Engineering Kopargaon. |
| 4 | Rajashree Karpe | SRES, College of Engineering Kopargaon. |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Agwan, Nayana, Davange, Kajal, Kanade, Poonam, & Karpe, Rajashree (2015). Ontology based video annotation for transportation domain. International Journal of Advance Research and Innovative Ideas In Education, 1(4), 654-659.
MLA Style
Agwan, Nayana, et al. "Ontology based video annotation for transportation domain." International Journal of Advance Research and Innovative Ideas In Education, vol. 1, no. 4, 2015, pp. 654-659.
IEEE Style
Nayana Agwan, Kajal Davange, Poonam Kanade, and Rajashree Karpe, "Ontology based video annotation for transportation domain," International Journal of Advance Research and Innovative Ideas In Education, vol. 1, no. 4, pp. 654-659, 2015.
Vancouver Style
Agwan Nayana, Davange Kajal, Kanade Poonam, Karpe Rajashree. Ontology based video annotation for transportation domain. International Journal of Advance Research and Innovative Ideas In Education. 2015;1(4):654-659.
Harvard Style
Agwan, Nayana, Davange, Kajal, Kanade, Poonam, & Karpe, Rajashree (2015) 'Ontology based video annotation for transportation domain', International Journal of Advance Research and Innovative Ideas In Education, 1(4), pp. 654-659.
Chicago Style
Agwan, Nayana, et al. "Ontology based video annotation for transportation domain." International Journal of Advance Research and Innovative Ideas In Education 1, no. 4 (2015): 654-659.
Turabian Style
Agwan, Nayana, et al. "Ontology based video annotation for transportation domain." International Journal of Advance Research and Innovative Ideas In Education 1, no. 4 (2015): 654-659.
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