A fast caption localization and detection for news videos

Chien Cheng Lee, Yu Chun Chiang, Hau Ming Huang, Chun Li Tsai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper, we propose an algorithm to detect captions from news videos. The propose method only detects captions excluding other miscellaneous types of text. The algorithm makes use of the fact that the text remains in many consecutive frames to reduce the number of the processing frames. The caption beginning frame is detected firs, then a caption candidate region in the caption beginning frame is defined. Twelve wavelet features are extracted from the region and considered as the input of the classifier to detect the text blocks. Experimental results show that the proposed approach can fast and robustly detect captions from news video.

Original languageEnglish
Title of host publicationSecond International Conference on Innovative Computing, Information and Control, ICICIC 2007
PublisherIEEE Computer Society
ISBN (Print)0769528821, 9780769528823
DOIs
Publication statusPublished - 2007 Jan 1
Event2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007 - Kumamoto, Japan
Duration: 2007 Sep 52007 Sep 7

Publication series

NameSecond International Conference on Innovative Computing, Information and Control, ICICIC 2007

Other

Other2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007
CountryJapan
CityKumamoto
Period07-09-0507-09-07

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mechanical Engineering

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