research-article

An eigen value based approach for text detection in video

Authors:

P. Shivakumara,

C. L. TanAuthors Info & Claims

DAS '10: Proceedings of the 9th IAPR International Workshop on Document Analysis Systems

Pages 501 - 506

https://doi.org/10.1145/1815330.1815395

Published: 09 June 2010 Publication History

Abstract

In this paper, a novel approach for detection of text and non-text regions in video frames is proposed. The proposed approach performs block wise eigen analysis on the gradient image of the video frame. For each block of the gradient frame, the dominant eigen value is computed to decide if the block could be a candidate text block. The K-means clustering is then applied to further identify text blocks among the candidate blocks. From each of the identified candidate text blocks edges are extracted using the sobel operator, and then by the use of horizontal and vertical profiles a bounding rectangle is fixed up. Further, geometric properties of the identified text regions are studied to eliminate false text regions. In order to validate the efficacy of the proposed approach, experimentation on a dataset containing 800 video frames has been carried out. The obtained results ensure that the proposed approach is with increased text detection rate with very low false and misdetection rates when compared to the other existing state of the art techniques.

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Cited By

Manjunath Aradhya VBasavaraju HGuru D(2019)Decade research on text detection in images/videos: a reviewEvolutionary Intelligence10.1007/s12065-019-00248-zOnline publication date: 6-Jun-2019
https://doi.org/10.1007/s12065-019-00248-z
Mirza AFayyaz MSeher ZSiddiqi I(2018)Urdu Caption Text Detection using Textural FeaturesProceedings of the 2nd Mediterranean Conference on Pattern Recognition and Artificial Intelligence10.1145/3177148.3180098(70-75)Online publication date: 27-Mar-2018
https://dl.acm.org/doi/10.1145/3177148.3180098
Yin XZuo ZTian SLiu C(2016)Text Detection, Tracking and Recognition in VideoIEEE Transactions on Image Processing10.1109/TIP.2016.255432125:6(2752-2773)Online publication date: 1-Jun-2016
https://dl.acm.org/doi/10.1109/TIP.2016.2554321
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cover image ACM Other conferences

DAS '10: Proceedings of the 9th IAPR International Workshop on Document Analysis Systems

June 2010

490 pages

ISBN:9781605587738

DOI:10.1145/1815330

General Chairs:
David Doermann
University of Maryland, College Park
,
Venu Govindaraju
University at Buffalo, SUNY
,
Daniel Lopresti
Lehigh University
,
Prem Natarajan
Raytheon BBN Technologies

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 09 June 2010

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DAS '10: The Eighth IAPR International Workshop on Document Analysis Systems

June 9 - 11, 2010

Massachusetts, Boston, USA

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Cited By

Manjunath Aradhya VBasavaraju HGuru D(2019)Decade research on text detection in images/videos: a reviewEvolutionary Intelligence10.1007/s12065-019-00248-zOnline publication date: 6-Jun-2019
https://doi.org/10.1007/s12065-019-00248-z
Mirza AFayyaz MSeher ZSiddiqi I(2018)Urdu Caption Text Detection using Textural FeaturesProceedings of the 2nd Mediterranean Conference on Pattern Recognition and Artificial Intelligence10.1145/3177148.3180098(70-75)Online publication date: 27-Mar-2018
https://dl.acm.org/doi/10.1145/3177148.3180098
Yin XZuo ZTian SLiu C(2016)Text Detection, Tracking and Recognition in VideoIEEE Transactions on Image Processing10.1109/TIP.2016.255432125:6(2752-2773)Online publication date: 1-Jun-2016
https://dl.acm.org/doi/10.1109/TIP.2016.2554321
Shekar BSmitha M.L. (2015)Text localization in video/scene images using Kirsch Directional Masks2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI)10.1109/ICACCI.2015.7275814(1436-1440)Online publication date: Aug-2015
https://doi.org/10.1109/ICACCI.2015.7275814
Xu JShivakumara PLu TPhan TTan C(2014)Graphics and Scene Text Classification in VideoProceedings of the 2014 22nd International Conference on Pattern Recognition10.1109/ICPR.2014.806(4714-4719)Online publication date: 24-Aug-2014
https://dl.acm.org/doi/10.1109/ICPR.2014.806
Shekar BSmitha M. L(2014)Morphological gradient based approach for text localization in video/scene images2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI)10.1109/ICACCI.2014.6968426(2426-2431)Online publication date: Sep-2014
https://doi.org/10.1109/ICACCI.2014.6968426
Shivakumara PBasavaraju HGuru DTan C(2013)Detection of Curved Text in VideoProceedings of the 2013 12th International Conference on Document Analysis and Recognition10.1109/ICDAR.2013.123(594-598)Online publication date: 25-Aug-2013
https://dl.acm.org/doi/10.1109/ICDAR.2013.123
Prakash SRaviShankar M(2013)Multi-Oriented Video text detection and extraction using DCT feature extraction and Projection based rotation calculation2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI)10.1109/ICACCI.2013.6637261(714-718)Online publication date: Aug-2013
https://doi.org/10.1109/ICACCI.2013.6637261
Shivakumara PGuru DBasavaraju H(2013)Color and Gradient Features for Text Segmentation from Video FramesMultimedia Processing, Communication and Computing Applications10.1007/978-81-322-1143-3_22(267-278)Online publication date: 26-May-2013
https://doi.org/10.1007/978-81-322-1143-3_22
Sharma NPal UBlumenstein M(2012)Recent Advances in Video Based Document ProcessingProceedings of the 2012 10th IAPR International Workshop on Document Analysis Systems10.1109/DAS.2012.72(63-68)Online publication date: 27-Mar-2012
https://dl.acm.org/doi/10.1109/DAS.2012.72

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