Key frame extraction for text based video retrieval using Maximally Stable Extremal Regions
© 2015 ICST. This paper presents a new approach for text-based video content retrieval system. The proposed scheme consists of three main processes that are key frame extraction, text localization and keyword matching. For the key-frame extraction, we proposed a Maximally Stable Extremal Region (MSE...
Saved in:
Main Authors: | , |
---|---|
Format: | Conference Proceeding |
Published: |
2018
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84943327896&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/44422 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
id |
th-cmuir.6653943832-44422 |
---|---|
record_format |
dspace |
spelling |
th-cmuir.6653943832-444222018-04-25T07:51:17Z Key frame extraction for text based video retrieval using Maximally Stable Extremal Regions Werachard Wattanarachothai Karn Patanukhom Agricultural and Biological Sciences © 2015 ICST. This paper presents a new approach for text-based video content retrieval system. The proposed scheme consists of three main processes that are key frame extraction, text localization and keyword matching. For the key-frame extraction, we proposed a Maximally Stable Extremal Region (MSER) based feature which is oriented to segment shots of the video with different text contents. In text localization process, in order to form the text lines, the MSERs in each key frame are clustered based on their similarity in position, size, color, and stroke width. Then, Tesseract OCR engine is used for recognizing the text regions. In this work, to improve the recognition results, we input four images obtained from different pre-processing methods to Tesseract engine. Finally, the target keyword for querying is matched with OCR results based on an approximate string search scheme. The experiment shows that, by using the MSER feature, the videos can be segmented by using efficient number of shots and provide the better precision and recall in comparison with a sum of absolute difference and edge based method. 2018-01-24T04:42:37Z 2018-01-24T04:42:37Z 2015-01-01 Conference Proceeding 2-s2.0-84943327896 10.4108/icst.iniscom.2015.258410 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84943327896&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/44422 |
institution |
Chiang Mai University |
building |
Chiang Mai University Library |
country |
Thailand |
collection |
CMU Intellectual Repository |
topic |
Agricultural and Biological Sciences |
spellingShingle |
Agricultural and Biological Sciences Werachard Wattanarachothai Karn Patanukhom Key frame extraction for text based video retrieval using Maximally Stable Extremal Regions |
description |
© 2015 ICST. This paper presents a new approach for text-based video content retrieval system. The proposed scheme consists of three main processes that are key frame extraction, text localization and keyword matching. For the key-frame extraction, we proposed a Maximally Stable Extremal Region (MSER) based feature which is oriented to segment shots of the video with different text contents. In text localization process, in order to form the text lines, the MSERs in each key frame are clustered based on their similarity in position, size, color, and stroke width. Then, Tesseract OCR engine is used for recognizing the text regions. In this work, to improve the recognition results, we input four images obtained from different pre-processing methods to Tesseract engine. Finally, the target keyword for querying is matched with OCR results based on an approximate string search scheme. The experiment shows that, by using the MSER feature, the videos can be segmented by using efficient number of shots and provide the better precision and recall in comparison with a sum of absolute difference and edge based method. |
format |
Conference Proceeding |
author |
Werachard Wattanarachothai Karn Patanukhom |
author_facet |
Werachard Wattanarachothai Karn Patanukhom |
author_sort |
Werachard Wattanarachothai |
title |
Key frame extraction for text based video retrieval using Maximally Stable Extremal Regions |
title_short |
Key frame extraction for text based video retrieval using Maximally Stable Extremal Regions |
title_full |
Key frame extraction for text based video retrieval using Maximally Stable Extremal Regions |
title_fullStr |
Key frame extraction for text based video retrieval using Maximally Stable Extremal Regions |
title_full_unstemmed |
Key frame extraction for text based video retrieval using Maximally Stable Extremal Regions |
title_sort |
key frame extraction for text based video retrieval using maximally stable extremal regions |
publishDate |
2018 |
url |
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84943327896&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/44422 |
_version_ |
1681422556549087232 |