A comprehensive motion videotext detection localization and extraction method

Tsung Han Tsai, Yung Chien Chen, Chih Lun Fang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

In video indexing and summarization, video text is the very compact and accurate information. Most video text detection and extraction methods deal with the static videotext on video frames. Few methods can handle motion videotext well since motion videotext may be hardly be extracted well. In this paper, we propose a low computation method to detect and localize the scrolling videotexts to provide this information. Besides, we propose an extraction method to extract the videotext. The extraction method consists of adaptive thresholding and our proposed modified seed-fill algorithm. The detection method is carried out by edge detection, and the projection profile method is used to localize the text region well. We have completed the whole system and the experimental results all of the horizontal and vertical scrolling videotexts can be extracted well.

Original languageEnglish
Title of host publication2006 International Conference on Communications, Circuits and Systems, ICCCAS, Proceedings - Signal Processing
Pages515-519
Number of pages5
DOIs
StatePublished - 2006
Event2006 International Conference on Communications, Circuits and Systems, ICCCAS - Guilin, China
Duration: 25 Jun 200628 Jun 2006

Publication series

Name2006 International Conference on Communications, Circuits and Systems, ICCCAS, Proceedings
Volume1

Conference

Conference2006 International Conference on Communications, Circuits and Systems, ICCCAS
Country/TerritoryChina
CityGuilin
Period25/06/0628/06/06

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