Article

Video OCR for Digital News Archive

Authors:

Toshio Sato,

Takeo Kanade,

Ellen K. Hughes,

Michael A. SmithAuthors Info & Claims

CAIVD '98: Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases (CAIVD '98)

Page 52

Published: 03 January 1998 Publication History

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Abstract

A technique that can greatly help to locate topics of interest in a large digital news video archive is the automatic extraction and reading of captions and annotations, which we call, Video OCR. News captions generally provide vital search information about the video being presented - the names of people and places or descriptions of objects. In this paper, two difficult problems of character recognition for videos are addressed: low resolution characters and extremely complex backgrounds. We apply an interpolation filter, multi-frame integration and a combination of four filters to solve these problems. Segmenting characters is done by a recognition-based segmentation method and intermediate character recognition results are used to improve the segmentation. The overall recognition results are good enough for use in news indexing. Performing Video OCR on news video and combining its results with other video analysis techniques will improve the overall understanding of the news video content.

Cited By

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Chakraborty DRoy PSaini RAlvarez JPal U(2018)Frame selection for OCR from video stream of book flippingMultimedia Tools and Applications10.1007/s11042-016-4292-377:1(985-1008)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1007/s11042-016-4292-3
Wang HLanda YFallon MTeller S(2013)Spatially Prioritized and Persistent Text Detection and DecodingRevised Selected Papers of the International Workshop on Camera-Based Document Analysis and Recognition - Volume 835710.1007/978-3-319-05167-3_1(3-17)Online publication date: 23-Aug-2013
https://dl.acm.org/doi/10.1007/978-3-319-05167-3_1
Yan JLi JGao X(2011)Chinese text location under complex background using Gabor filter and SVMNeurocomputing10.1016/j.neucom.2011.04.03174:17(2998-3008)Online publication date: 1-Oct-2011
https://dl.acm.org/doi/10.1016/j.neucom.2011.04.031
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Video OCR for Digital News Archive
1. Applied computing
  1. Document management and text processing
    1. Document capture
2. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems

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Published In

CAIVD '98: Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases (CAIVD '98)

January 1998

ISBN:0818683295

Publisher

IEEE Computer Society

United States

Publication History

Published: 03 January 1998

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Chakraborty DRoy PSaini RAlvarez JPal U(2018)Frame selection for OCR from video stream of book flippingMultimedia Tools and Applications10.1007/s11042-016-4292-377:1(985-1008)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1007/s11042-016-4292-3
Wang HLanda YFallon MTeller S(2013)Spatially Prioritized and Persistent Text Detection and DecodingRevised Selected Papers of the International Workshop on Camera-Based Document Analysis and Recognition - Volume 835710.1007/978-3-319-05167-3_1(3-17)Online publication date: 23-Aug-2013
https://dl.acm.org/doi/10.1007/978-3-319-05167-3_1
Yan JLi JGao X(2011)Chinese text location under complex background using Gabor filter and SVMNeurocomputing10.1016/j.neucom.2011.04.03174:17(2998-3008)Online publication date: 1-Oct-2011
https://dl.acm.org/doi/10.1016/j.neucom.2011.04.031
Tsai TChen YFang C(2009)2DVTEPattern Recognition10.1016/j.patcog.2008.10.00942:7(1496-1510)Online publication date: 1-Jul-2009
https://dl.acm.org/doi/10.1016/j.patcog.2008.10.009
Tjondronegoro DChen YJoly A(2008)A scalable and extensible segment-event-object-based sports video retrieval systemACM Transactions on Multimedia Computing, Communications, and Applications10.1145/1352012.13520174:2(1-40)Online publication date: 16-May-2008
https://dl.acm.org/doi/10.1145/1352012.1352017
Wang FNgo CPong T(2008)Structuring low-quality videotaped lectures for cross-reference browsing by video text analysisPattern Recognition10.1016/j.patcog.2008.03.02441:10(3257-3269)Online publication date: 1-Oct-2008
https://dl.acm.org/doi/10.1016/j.patcog.2008.03.024
Liu XFu HJia Y(2008)Gaussian mixture modeling and learning of neighboring characters for multilingual text extraction in imagesPattern Recognition10.1016/j.patcog.2007.06.00441:2(484-493)Online publication date: 1-Feb-2008
https://dl.acm.org/doi/10.1016/j.patcog.2007.06.004
Del Bimbo ABertini M(2007)Multimedia ontology based computational framework for video annotation and retrievalProceedings of the 2007 international conference on Multimedia content analysis and mining10.5555/1776594.1776600(18-23)Online publication date: 30-Jun-2007
https://dl.acm.org/doi/10.5555/1776594.1776600
Anthimopoulos MGatos BPratikakis IPerantonis S(2007)Detecting text in video framesProceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications10.5555/1710523.1710531(39-44)Online publication date: 31-Jan-2007
https://dl.acm.org/doi/10.5555/1710523.1710531
Yan RHauptmann A(2007)A review of text and image retrieval approaches for broadcast news videoInformation Retrieval10.1007/s10791-007-9031-y10:4-5(445-484)Online publication date: 1-Oct-2007
https://dl.acm.org/doi/10.1007/s10791-007-9031-y
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Video OCR: indexing digital new libraries by recognition of superimposed captions

Neural Networks Pipeline for Offline Machine Printed Arabic OCR

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