Arbitrarily-oriented multi-lingual text detection in video

Publisher:
Springer Verlag
Publication Type:
Journal Article
Citation:
Multimedia Tools and Applications, 2017, 76 (15), pp. 16625 - 16655
Issue Date:
2017-08
Full metadata record
Files in This Item:
Filename Description Size
Arbitrarily-oriented multi-lingual text detection in video.pdfPublished Version5.1 MB
Adobe PDF
© 2016 Springer Science+Business Media New YorkText detection in arbitrarily-oriented multi-lingual video is an emerging area of research because it plays a vital role for developing real-time indexing and retrieval systems. In this paper, we propose to explore moments for identifying text candidates. We introduce a novel idea for determining automatic windows to extract moments for tackling multi-font and multi-sized text in video based on stroke width information. The temporal information is explored to find deviations between moving and non-moving pixels in successive frames iteratively, which results in static clusters containing caption text and dynamic clusters containing scene text, as well as background pixels. The gradient directions of pixels in static and dynamic clusters are analyzed to identify the potential text candidates. Furthermore, boundary growing is proposed that expands the boundary of potential text candidates until it finds neighbor components based on the nearest neighbor criterion. This process outputs text lines appearing in the video. Experimental results on standard video data, namely, ICDAR 2013, ICDAR 2015, YVT videos and on our own English and Multi-lingual videos demonstrate that the proposed method outperforms the state-of-the-art methods.
Please use this identifier to cite or link to this item: