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Video OCR for Indexing and Retrieval

by Mohd Javed Khatri, Abhishek Shetty, Ajay Gupta, Grishma Sharma
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 118 - Number 2
Year of Publication: 2015
Authors: Mohd Javed Khatri, Abhishek Shetty, Ajay Gupta, Grishma Sharma
10.5120/20721-3067

Mohd Javed Khatri, Abhishek Shetty, Ajay Gupta, Grishma Sharma . Video OCR for Indexing and Retrieval. International Journal of Computer Applications. 118, 2 ( May 2015), 30-33. DOI=10.5120/20721-3067

@article{ 10.5120/20721-3067,
author = { Mohd Javed Khatri, Abhishek Shetty, Ajay Gupta, Grishma Sharma },
title = { Video OCR for Indexing and Retrieval },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 118 },
number = { 2 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 30-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume118/number2/20721-3067/ },
doi = { 10.5120/20721-3067 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:00:38.712737+05:30
%A Mohd Javed Khatri
%A Abhishek Shetty
%A Ajay Gupta
%A Grishma Sharma
%T Video OCR for Indexing and Retrieval
%J International Journal of Computer Applications
%@ 0975-8887
%V 118
%N 2
%P 30-33
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

We present an implementation of a search engine that searches videos based on its textual content. The system consists of four parts video processing, spell correction, indexing and searching. The video processing is done by dividing the video into frames and extracting text out of it. Lecture videos, news having some textual content in it show good results.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Indexing Retrieval Video OCR Searching Search Engine Apache Solr.

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