A Novel Approach of Inhalt Based Video Recuperation System Using OCR and ASR Technologies

  • Swati K hokale
Keywords: Automatic Speech Recognition Algorithm.(ASR),E-learning Videos, Optical Character Recognition (OCR).


Now a days Lecture videos are present methods for E-learning process. The degree of lecture video data on the (WWW)World Wide Web is growing very quickly. Therefore maximum appropriate technique for retrieving video within vast lecture video library is required. This technique will be very beneficial for the new and existing users to search related video within a short period of time. This paper shows a different method for inhalt based video searching for receiving correct outcomes. The main aim of the proposed system is to recover a video on the basis of its substances rather than retrieving video consulting to its title and meta data explanation in order to provide an correct for the examine query. For mining text data printed on slides we put on optical character recognition algorithm(OCR) and automatic speech recognition algorithm(ASR) to convert speaker’s speech into text.


[1] Haojin Yang and Christoph Meinel, Member, IEEE ―Content Based Lecture Video Retrieval Using Speech and Video Text Information’’ in Proc. IEEE transaction on learning technologies, vol.7, no.2,April-June 2014,pp.144-154.
[2] John Adcock, Matthew Cooper, Laurent Denoue, Lawrence A. Rowe, ―TalkMiner: A Lecture Webcast Search Engine‖ MM’10, October 25–29, 2010, Firenze, Italy. Copyright 2010 ACM 978-1-60558-933-6/10/10
[3] B. V. Patel ,A. V. Deorankar, B. B. Meshram, ―Content Based Video Retrieval using Entropy, Edge Detection, Black and White Color Features‖ 978-1-4244-6349-7/10/$26.00 c 2010 IEEE.
[4] Boris Epshtein ,Eyal Ofek,Yonatan Wexler,―Detecting Text in Natural Scenes with Stroke Width Transform‖2014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP).
[5] Stephan Repp, Andreas GroB, and Christoph Meinel, Member, IEEE ―Browsing within Lecture Videos Based on the Chain Index of Speech Transcription‖ IEEE Transactions on learning technologies ,VOL. 1, NO. 3, JULY-SEPTEMBER 2008,145-156.
[6] Arpit Jain, Xujun Peng, Xiaodan Zhuang, Pradeep Natarajan, Huaigu Cao ―Text Detection and Recognition in Natural Scenes and Consumer Videos‖,2014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP),1245-1249.
[7] B.Jyothi, Y.Madhavee Latha, V.S.K.Reddy, ―Relvance Feed Back Content Based Image Retrieval Using Multiple Features‖,978-1-4244-5967-4/10/$26.00 ©2010 IEEE.
[8] Yan Yang Brian, C Lovell ,Farhad Dadgostar, ―Content-Based Video Retrieval (CBVR) System for CCTV Surveillance Videos‖,978-0-7695-3866-2/09 $26.00 © 2009 IEEE/DOI 10.1109/DICTA.2009.36.
[9] Mr. Pradeep Chivadshetti, Mr. Kishor Sadafale, Mrs. Kalpana Thakare, ―Content Based Video Retrieval Using Integrated Feature Extraction‖ ,24th & 25th March 2015 Fourth Post Graduate Conference,IEEE.
[10] B. Epshtein, E. Ofek, and Y. Wexler, ―Detecting text in natural scenes with stroke width transform,‖ in Proc.Int. Conf. Comput. Vis. Pattern Recog., 2010, pp. 2963–2970.
[11] Dimitrovski, Ivica, et al. "Video Content-Based Retrieval System." EUROCON,2007. The International Conference on &Computer as a Tool , IEEE, 2007.
[12] T. Tuna, J. Subhlok, L. Barker, V. Varghese, O. Johnson and S. Shah. (2012), ―Development and evaluation of indexed captioned searchable videos for stem coursework,‖ in Proc.43rd ACM Tech.Symp. Comput.Sci. Educ., pp. 129–134.
[13] Dipali Patil, Mrs. M. A. Potey ―Survey of Content Based Lecture Video Retrieval‖ International Journalof Computer Trends and Technology (IJCTT) – Volume 19 Number 1 – Jan 2015, ISSN: 2231-2803.
[14] Rupali Khollam, S. Pratap Singh, ―A Survey on Content Based Lecture Video Retrieval Using Speech and Video Text information‖, International Journal of Science and Research (IJSR) ISSN (Online): 2319-7064 Index Copernicus Value (2013)Volume 4 Issue 1,January 2015.
How to Cite
hokale, S. K. (2018, April 15). A Novel Approach of Inhalt Based Video Recuperation System Using OCR and ASR Technologies. ASIAN JOURNAL FOR CONVERGENCE IN TECHNOLOGY (AJCT ) -UGC LISTED, 4(I). Retrieved from http://asianssr.org/index.php/ajct/article/view/422
Electronics and Telecommunication