Recent advances in video based document processing: A review

Sharma, N; Pal, U; Blumenstein, M

Recent advances in video based document processing: A review

Sharma, N

Pal, U Blumenstein, M

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 10th IAPR International Workshop on Document Analysis Systems, DAS 2012, 2012, pp. 63 - 68
Issue Date:: 2012-05-24

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Field	Value	Language
dc.contributor.author	Sharma, N https://orcid.org/0000-0003-0841-1245	en_US
dc.contributor.author	Pal, U	en_US
dc.contributor.author	Blumenstein, M https://orcid.org/0000-0002-9908-3744	en_US
dc.date.issued	2012-05-24	en_US
dc.identifier.citation	Proceedings - 10th IAPR International Workshop on Document Analysis Systems, DAS 2012, 2012, pp. 63 - 68	en_US
dc.identifier.isbn	9780769546612	en_US
dc.identifier.uri	http://hdl.handle.net/10453/121006
dc.description.abstract	Extraction and recognition of text present in video has become a very popular research area in the last decade. Generally, text present in video frames is of different size, orientation, style, etc. with complex backgrounds, noise, low resolution and contrast. These factors make the automatic text extraction and recognition in video frames a challenging task. A large number of techniques have been proposed by various researchers in the recent past to address the problem. This paper presents a review of various state-of-the-art techniques proposed towards different stages (e.g. detection, localization, extraction, etc.) of text information processing in video frames. Looking at the growing popularity and the recent developments in the processing of text in video frames, this review imparts details of current trends and potential directions for further research activities to assist researchers. © 2012 IEEE.	en_US
dc.relation.ispartof	Proceedings - 10th IAPR International Workshop on Document Analysis Systems, DAS 2012	en_US
dc.relation.isbasedon	10.1109/DAS.2012.72	en_US
dc.title	Recent advances in video based document processing: A review	en_US
dc.type	Conference Proceeding
utslib.for	0803 Computer Software	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
pubs.organisational-group	/University of Technology Sydney/Strength - QSI - Centre for Quantum Software and Information
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

Extraction and recognition of text present in video has become a very popular research area in the last decade. Generally, text present in video frames is of different size, orientation, style, etc. with complex backgrounds, noise, low resolution and contrast. These factors make the automatic text extraction and recognition in video frames a challenging task. A large number of techniques have been proposed by various researchers in the recent past to address the problem. This paper presents a review of various state-of-the-art techniques proposed towards different stages (e.g. detection, localization, extraction, etc.) of text information processing in video frames. Looking at the growing popularity and the recent developments in the processing of text in video frames, this review imparts details of current trends and potential directions for further research activities to assist researchers. © 2012 IEEE.

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