NDLI: Efficient scrolling videotext detection with adaptive temporal differential approach

Content Provider	IET Digital Library
Author	Hsia, Shih Chang Jian, Nan Tsai Chang
Abstract	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.
Starting Page	455
Ending Page	463
Page Count	9
ISSN	17519659
Volume Number	8
e-ISSN	17519667
Issue Number	Issue 8, Aug (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/8/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2013.0448
Journal	IET Image Processing
Publisher Date	2014-04-30
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Temporal Differentiation Background Information Computer Vision And Image Processing Technique Image Recognition Quantisation (signal) Quantised Measurement Scrolling Text Detection Signal Processing And Detection Spatial Computation Temporal Computation Text Detection Video Signal Processing Videotext Detection
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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