Automatic Caption Localization in Compressed Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detection of text captions in compressed domain video
MULTIMEDIA '00 Proceedings of the 2000 ACM workshops on Multimedia
A fast parallel algorithm for thinning digital patterns
Communications of the ACM
Automatic Closed Caption Detection and Font Size Differentiation in MPEG Video
VISUAL '02 Proceedings of the 5th International Conference on Recent Advances in Visual Information Systems
Fast Text Caption Localization on Video Using Visual Rhythm
VISUAL '02 Proceedings of the 5th International Conference on Recent Advances in Visual Information Systems
Text Detection for Video Analysis
CBAIVL '99 Proceedings of the IEEE Workshop on Content-Based Access of Image and Video Libraries
A Fast Caption Localization and Detection for News Videos
ICICIC '07 Proceedings of the Second International Conference on Innovative Computing, Informatio and Control
Morphology-based text line extraction
Machine Vision and Applications
Localizing and segmenting text in images and videos
IEEE Transactions on Circuits and Systems for Video Technology
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Text detection in images has been studied and improved for decades. There are many works that extend the existing methods for analyzing videos, however, few of them create or adapt approaches that consider inherent characteristics of videos, such as temporal information. This work proposes a very fast method for identifying video frames that contain text through a special data structure called visual rhythm. The method is robust to detect video captions with respect to font styles, color intensity, and text orientation. A data set was built in our experiments to compare and evaluate the effectiveness of the proposed method.