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Survey on Content Based Lecture Video Retrieval By Text

Authors(4):

Prashant Zanjugade, Neha Shinde, Omkar Devle, Darshana Gandre
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E-Teaching is becoming popular nowadays, as a result of this there is huge increase in the amount of lecture video data on the World Wide Web. Lecture videos contain text information in the visual channels: the presentation slides and lecturer's speech. Therefore, a more effective method for retrieval of video within large lecture video archives is needed. So, in this paper we present an approach for automated video indexing and searching of video in archives. Firstly, we apply automatic video segmentation which will fragment the video into number of frames and then key-frame detection is applied to offer a visual guideline for the video content navigation. Subsequently, by applying video Optical Character Recognition (OCR) technology on key-frames we extract textual metadata. The OCR detects as well as transcripts slide text for keyword extraction, by which all keywords are extracted from video for content based video browsing and search.

Prashant Zanjugade, Neha Shinde, Omkar Devle, Darshana Gandre

Lecture videos, Video Segmentation, Optical Character Recognition (OCR), Keyframe detection, Indexing, Ranking.

  1. Haojin Yang and Cristoph Meinel, “Content Based Lecture Video Retrieval Using Speech And Video Text Information”, IEEE transactions on learning technologies, vol. 7,no. 2,April June
  2. Pratyush Pranjal, Rohit Lakhdive, Aditya Vasave, AtulkumarVarma and AmitBarve ,"An Effective Method of Video Segmentation and Summarization for Surveillance ",International
  3. Journal of Computer Applications (0975 – 8887) Volume 95 – No 2, June 2014 Aasif Ansari and Muzammil H Mohammed,"Content based Video Retrieval Systems - Methods, Techniques, Trends and Challenges ",International Journal of Computer Applications (0975 – 8887)  Volume 112 – No. 7, February 2015
  4. Bhagyashri Babhale, Kaumudinee Ibitkar, Priyanka Sonawane, Renuka Puntambekar , "Content Based Lecture Video Retrieval using Video Text",International Journal of Advance Foundation and Research in Computer (IJAFRC) Volume 2, Special Issue (NCRTIT 2015), January 2015. ISSN 2348 - 4853

Publication Details

Published in : Volume 2 | Issue 5 | September-October - 2016
Date of Publication Print ISSN Online ISSN
2016-10-31 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
494-498 IJSRSET1625124   Technoscience Academy

Cite This Article

Prashant Zanjugade, Neha Shinde, Omkar Devle, Darshana Gandre , "Survey on Content Based Lecture Video Retrieval By Text", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 5, pp.494-498, September-October-2016.
URL : http://ijsrset.com/IJSRSET1625124.php