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Dongqing Zhang, Shih-Fu Chang. Accurate Overlay Text Extraction for Digital Video Analysis. ADVENT Technical Report #005 Columbia University, 2002.

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This report describes a system to detect and extract the overlay texts in digital video. Different from the previous approaches, the system used a multiple hypothesis testing approach: The region-of-interests (ROI) probably containing the overlay texts are decomposed into several hypothetical binary images using color space partitioning; A grouping algorithm then is conducted to group the identified character blocks into text lines in each binary image; If the layout of the grouped text lines conforms to the verification rules, the bounding boxes of these grouped blocks are output as the detected text regions. Finally, motion verification is used to reduce false alarms. In order to achieve real time speed, ROI localization is realized using compressed domain features including DCT coefficients and motion vectors in MPEG videos. The proposed method showed impressive results with average recall 96.9% and precision 71.6% in testing on digital News videos


Dongqing Zhang
Shih-Fu Chang

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   Author = {Zhang, Dongqing and Chang, Shih-Fu},
   Title = {Accurate Overlay Text Extraction for Digital Video Analysis},
   Institution = {Columbia University},
   Year = {2002}

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