Title
Detecting and retrieving texts from electronic marquees in natural scenes
Abstract
This paper proposed a system which is able to detect the electronic marquee in natural scenes and retrieve the full contents displayed by the electronic marquee automatically. First, the system locates the marquee in natural images by analyzing the optical flow fields of the video sequence. Meanwhile, the starting and ending time of scrolling texts can also be obtained. Then, text blocks are retrieved by the integration of temporal information and geometric projections. Finally, text blocks which have the same contents in adjacent frames are associated together. The full contents displayed by the electronic marquee are reconstructed by rearranging these text blocks. Experiments demonstrate that the proposed method is effective in displaying texts in the electronic marquee regardless of the language or the color of texts.
Year
DOI
Venue
2013
10.1109/ISCE.2013.6570185
Consumer Electronics
Keywords
Field
DocType
image reconstruction,image sequences,natural scenes,text detection,video signal processing,content retrieval,electronic marquee detection,geometric projections,natural images,optical flow fields,temporal information,text blocks,text retrieval,video sequence,computer vision,optical imaging,tv,adaptive optics
Iterative reconstruction,Computer vision,Content retrieval,Computer graphics (images),Computer science,Scrolling,Artificial intelligence,Optical imaging,Optical flow,Text detection,Text retrieval,Adaptive optics
Conference
ISSN
ISBN
Citations 
0747-668X
978-1-4673-6198-9
1
PageRank 
References 
Authors
0.36
2
3
Name
Order
Citations
PageRank
Chih-Chang Yu1328.93
Yen-Wen Chung210.36
Hsu-Yung Cheng324323.56