International Journal of Computer Vision
Media streams: representing video for retrieval and repurposing
MULTIMEDIA '94 Proceedings of the second ACM international conference on Multimedia
DL '97 Proceedings of the second ACM international conference on Digital libraries
Video OCR for Digital News Archive
CAIVD '98 Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases (CAIVD '98)
Identification of Text on Colored Book and Journal Covers
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Hybrid approach to efficient text extraction in complex color images
Pattern Recognition Letters
Automatic text detection and tracking in digital video
IEEE Transactions on Image Processing
A comprehensive method for multilingual video text detection, localization, and extraction
IEEE Transactions on Circuits and Systems for Video Technology
A spatiotemporal text localization and identification approach for content-based video browsing
Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia
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The amount of digital video data is increasing over the world. It highlights the need for efficient algorithms that can retrieve this data by content. The full use of this media is currently limited by the opaque nature of the video which prevents content-based access. To facilitate video indexing and browsing, it is essential to allow non-linear access, especially for long programs. This can be achieved by identifying semantic description captured automatically from video story structure. Among these descriptions, text within video frames is considered as rich features that enable a good way for browsing video. In this paper we propose a fast Hough transformation based approach for automatic video frames text localization. Experimental results, that we drove on a large sample of video images issued from portions of news broadcasts, sports program, advertisements and movies, shows that our method is very efficient, capable to locate text regions with different character sizes, directions and styles even in case of complex image background.