Publication Type : Conference Proceedings
Publisher : ICTEE
Source : Proceedings - 2012 IEEE International Conference on Technology Enhanced Education, ICTEE 2012, Kerala, p.1-10 (2012)
Url : http://www.scopus.com/inward/record.url?eid=2-s2.0-84862889471&partnerID=40&md5=8e5a265d8b4356482256549fd931a362
ISBN : 9781457707261
Keywords : Audio transcripts, Engineering education, Experimental studies, Image segmentation, Instructional videos, Key Patterns, Keyphrase extraction, Learning algorithms, lecture browser, Lecture video, Metadata, Metadata extraction, Naive-Bayes classifiers, Segmentation results, Statistical approach, Supervised machine learning, video lectures
Campus : Coimbatore
School : School of Engineering
Department : Computer Science
Verified : Yes
Year : 2012
Abstract : Keyphrases are essential meta-data that summarize the contents of an instructional video. In this paper, we present a domain independent, statistical approach for automatic keyphrase extraction from audio transcripts of video lectures. We identify new features in audio transcripts, that capture key patterns characterizing keyphrases in lecture videos. A system for keyphrase extraction is designed that uses a supervised machine learning algorithm, based on a Naive-Bayes classifier to extract relevant keyphrases. Our extensive experimental studies show that our system extracts more relevant keywords than existing approaches. The paper also evaluates the performance of the proposed keyphrase extraction method for different categories of lectures. The extracted keyphrases are used further as features for automatic topic based segmentation of the video lectures. This process of automatic keyphrase extraction and segmentation results in a section-wise annotated video lecture which can be effectively viewed in a lecture browser. © 2012 IEEE.
Cite this Research Publication : A. Balagopalan, Balasubramanian, L. L., Dr. Vidhya Balasubramanian, Chandrasekharan, N., and Damodar, A., “Automatic Keyphrase Extraction and Segmentation of Video Lectures”, Proceedings - 2012 IEEE International Conference on Technology Enhanced Education, ICTEE 2012. Kerala, pp. 1-10, 2012.