Version 1
: Received: 2 December 2023 / Approved: 4 December 2023 / Online: 4 December 2023 (03:36:00 CET)
Version 2
: Received: 4 December 2023 / Approved: 6 December 2023 / Online: 6 December 2023 (03:43:44 CET)
How to cite:
Kumbham, S.; Debnath, A.; Krothapalli, S.R. Efficient Indexing of Meta-Data (Extracted From Educational Videos). Preprints2023, 2023120116. https://doi.org/10.20944/preprints202312.0116.v2
Kumbham, S.; Debnath, A.; Krothapalli, S.R. Efficient Indexing of Meta-Data (Extracted From Educational Videos). Preprints 2023, 2023120116. https://doi.org/10.20944/preprints202312.0116.v2
Kumbham, S.; Debnath, A.; Krothapalli, S.R. Efficient Indexing of Meta-Data (Extracted From Educational Videos). Preprints2023, 2023120116. https://doi.org/10.20944/preprints202312.0116.v2
APA Style
Kumbham, S., Debnath, A., & Krothapalli, S.R. (2023). Efficient Indexing of Meta-Data (Extracted From Educational Videos). Preprints. https://doi.org/10.20944/preprints202312.0116.v2
Chicago/Turabian Style
Kumbham, S., Abhijit Debnath and Sreenivasa Rao Krothapalli. 2023 "Efficient Indexing of Meta-Data (Extracted From Educational Videos)" Preprints. https://doi.org/10.20944/preprints202312.0116.v2
Abstract
Video lectures are becoming more popular and in demand as online classroom teaching is becoming more prevalent. Massive Open Online Courses (MOOCs), such as NPTEL, have been creating high-quality educational content that is freely accessible to students online. A large number of colleges across the country are now using NPTEL videos in their classrooms. So more video lectures are being recorded, maintained, and uploaded. These videos generally contain information about that video before the lecture begins. We generally observe that these educational videos have metadata containing five to six attributes: Institute Name, Publisher Name, Department Name, Professor Name, Subject Name, and Topic Name. It would be easy to maintain these videos if we could organize them according to their categories. The indexing of these videos based on this information is beneficial for students all around the world to efficiently utilise these videos. In this project, we are trying to get the metadata information mentioned above from the video lectures.
Keywords
image processing; keyframes; indexing; metadata
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Commenter: Shalika Kumbham
Commenter's Conflict of Interests: Author