An Efficient Scene Content-Based Indexing and Retrieval on Video Lectures

Author:

Ashok Kumar P. M.,Ambati Rami Reddy,Arun Raj L.

Publisher

Springer Singapore

Reference13 articles.

1. Yang, H., & Meinel, C. (2014 April–June). Content based lecture video retrieval using speech and video text information. IEEE Transactions on Learning Technologies, 7(2). https://doi.org/10.1109/tlt.2014.2307305 .

2. Rathod, G. I., Nikam, D. A. An algorithm for shot boundary detection and key frame extraction using histogram difference. International Journal of Emerging Technology and Advanced Engineering, 3(8). https://doi.org/10.1109/icip.2008.4712476 .

3. Pong, T.-C., Wang, F., & Ngo, C.-W. (2008). Structuring low-quality videotaped lectures for cross reference browsing by video text analysis. Journal of Pattern Recognition, 41(10), 3257–3269. https://doi.org/10.1016/j.patcog.2008.03.024 .

4. Jeong, H. J., Kim, T.-E., & Kim, M. H. (2012). An accurate lecture video segmentation method by using sift and adaptive threshold. In Proceedings in 10th International Conference on Advances in Mobile Computing (pp. 285–288). http://doi.acm.org/10.1145/2428955.2429011 .

5. Tuna, T., Subhlok, J., Barker, L., Varghese, V., Johnson, O., & Shah, S. (2012). Development and evaluation of indexed captioned searchable videos for stem coursework. In Proceedings of 43rd ACM Technical Symposium on Computer Science Education (pp. 129–134). http://doi.acm.org/10.1145/2157136.2157177 .

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