Abstract | ||
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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 |
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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 Yu | 1 | 32 | 8.93 |
Yen-Wen Chung | 2 | 1 | 0.36 |
Hsu-Yung Cheng | 3 | 243 | 23.56 |