Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICARCV.2006.345066
Title: Detection and interpretation of text information in noisy video sequences
Authors: Chan, U.
Kassim, A. 
Chew, L.Y.
Keywords: Noisy video source
Scrolling text
Text detection
Issue Date: 2006
Source: Chan, U.,Kassim, A.,Chew, L.Y. (2006). Detection and interpretation of text information in noisy video sequences. 9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06 : -. ScholarBank@NUS Repository. https://doi.org/10.1109/ICARCV.2006.345066
Abstract: Text superimposed on the video frames provides supplemental but important information for video indexing and retrieval. The detection and recognition of text from video is thus an important issue in automated content-based indexing of visual information in video archives. Text of interest is not limited to static text. They could be scrolling in a linear motion where only part of the text information is available during different frames of the video. The problem is further complicated if the video is corrupted with noise. An algorithm is proposed to detect, classify and segment both static and simple linear moving text in complex noisy background. The extracted texts are further processed using averaging to attain a quality suitable for text recognition by commercial Optical Character Recognition (OCR) software. © 2006 IEEE.
Source Title: 9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06
URI: http://scholarbank.nus.edu.sg/handle/10635/69888
ISBN: 1424403421
DOI: 10.1109/ICARCV.2006.345066
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

1
checked on Dec 13, 2017

Page view(s)

17
checked on Dec 9, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.