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  • Recent Advances in Video Based Document Processing: A Review

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    Author(s)
    Sharma, Nabin
    Pal, Umapada
    Blumenstein, Michael
    Griffith University Author(s)
    Blumenstein, Michael M.
    Sharma, Nabin
    Year published
    2012
    Metadata
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    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 ...
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    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.
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    Conference Title
    Proceedings 10th IAPR International Workshop on Document Analysis Systems DAS 2012
    Publisher URI
    http://www.ict.griffith.edu.au/das2012/
    DOI
    https://doi.org/10.1109/DAS.2012.72
    Copyright Statement
    © 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subject
    Computer vision
    Publication URI
    http://hdl.handle.net/10072/49650
    Collection
    • Conference outputs

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