Content Searching In Video

May 2022
Vol-8, Issue-3
Paper ID: 16994
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
Abstract Introduction Literature Survey Image Analysis Speech Recognition Teachers Annotation Students’ Annotation Problem Statement Project Requirements Result Conclusion Reference.
Abstract
The large number of video lectures within digital archives is making critical the indexing and retrieval process. Indeed, most of the systems base the indexing process on few generic text information (e.g., course title and teachers name) and this creates problems to students who are looking for very speci_c topics and hence want to browse video in details. Moreover, additional metadata could provide useful information to those users who access the educational materials by means of assistive technologies. In this paper, we propose an approach that allows students to take on-the-y notes while watching a video lecture and uses these notes to enrich video lectures with metadata that will be helpful to the indexing and re-trieval process. To extract the visual information, we apply video content analysis to detect slides and (OCR)Optical Character Recognition to obtain their text and (ASR) Automatic Speech Recognition is used to extract spoken text from the recorded audio. In this paper we present an approach for automated video indexing and video search in large lecture video archives. Firstly, we apply automatic video segmentation and key- frame detection. Then; we apply video Optical Character Recognition (OCR) technology on key-frames to extract textual metadata and Automatic Speech Recognition (ASR) on lecture audio tracks.

Author Information

# Name Institute / Affiliation
1 Sachin Ishwar Jaware Shatabdi Institute College of Engineering
2 Prafulla Kasar Shatabdi Institute College of Engineering
3 Ketan Gaikwad Shatabdi Institute College of Engineering
4 Ganesh Khaire, Shatabdi Institute College of Engineering

How to Cite

Use the following formats to cite this article in your research.

APA Style
Jaware, Sachin Ishwar, Kasar, Prafulla, Gaikwad, Ketan, & Khaire,, Ganesh (2022). Content Searching In Video. International Journal of Advance Research and Innovative Ideas In Education, 8(3), 2333-2341.
MLA Style
Jaware, Sachin Ishwar, et al. "Content Searching In Video." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, 2022, pp. 2333-2341.
IEEE Style
Sachin Ishwar Jaware, Prafulla Kasar, Ketan Gaikwad, and Ganesh Khaire,, "Content Searching In Video," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, pp. 2333-2341, 2022.
Vancouver Style
Jaware Sachin Ishwar, Kasar Prafulla, Gaikwad Ketan, Khaire, Ganesh. Content Searching In Video. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(3):2333-2341.
Harvard Style
Jaware, Sachin Ishwar, Kasar, Prafulla, Gaikwad, Ketan, & Khaire,, Ganesh (2022) 'Content Searching In Video', International Journal of Advance Research and Innovative Ideas In Education, 8(3), pp. 2333-2341.
Chicago Style
Jaware, Sachin Ishwar, et al. "Content Searching In Video." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 2333-2341.
Turabian Style
Jaware, Sachin Ishwar, et al. "Content Searching In Video." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 2333-2341.

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