Open AccessEfficient scrolling videotext detection with adaptive temporal differential approach
Author(s) -
Hsia ShihChang,
ChangJian NanTsai
Publication year - 2014
Publication title -
iet image processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.401
H-Index - 45
eISSN - 1751-9667
pISSN - 1751-9659
DOI - 10.1049/iet-ipr.2013.0448
Subject(s) - scrolling , computer science , rectangle , frame (networking) , computation , noise (video) , artificial intelligence , computer vision , pattern recognition (psychology) , algorithm , image (mathematics) , mathematics , telecommunications , geometry
This study presents an efficient algorithm for the detection of scrolling text on continuous frames. The proposed scheme adopts both spatial and temporal computation as well as pre‐processing to differentiate among noise, text and background information. Scrolling text is detected using temporal differentiation among inter‐frames and then the region in which the scrolling text appears is identified as a rectangle. Simulation results demonstrate that the proposed algorithm is capable of precisely differentiating scrolling text in any direction, along any of the frame boundaries without false detection or missed text. In a comparison using quantised measurements, the proposed method outperforms all competing algorithms.