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By Minoru Mori (Editor)

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2009). Video text detection based on filters and edge features, Proceedings of IEEE International Conference on Multimedia and Expo, pp. 514517, June 28 2009-July 3 2009 P. Q. Phan, T. C. Lim. (2009). A Robust Wavelet Transform Based Technique for Video Text Detection, Proceedings of 10th International Conference on Document Analysis and Recognition, pp. 1285-1289, 26-29 July 2009 R. Lienhart. (1996). Automatic text recognition for video indexing, in Proc. ACM Multimedia Boston, MA, Nov. 1996, pp.

4, July 2000 X. Qian, G. Liu. (2006). Text Detection, Localization and Segmentation in Compressed Videos, ICASSP, pp 385-388, 2006 Y. Zhong; H. J. K. Jain. (1999). 96-100, 1999 Y. Su, Z. Ji, X. Song, R. Hua. (2008). 711-714, 10-12 Nov. 2008 Y. Su, Z. Ji, X. Song, R. Hua. (2008). Caption Text Location with Combined Features for News Videos, Proceedings of International Workshop on Geoscience and Remote Sensing and Education Technology and Training, pp. 714-718, 21-22 Dec. -K. -H. -W. Lee. (2000).

The word level error correction capability of NLP is a powerful tool to improve the accuracy of text extraction compared to a standalone OCR. This can be used to correct articles, prepositions and verbs. , 2000) proposed OCR error correction in morphologically rich Indian language, where they have shown 84% word correction for a single character error. , 2007) presented a work on detecting errors in preposition for non-native English speakers. They have proposed maximum entropy (ME) model to estimate the probability of prepositions in their local context to detect the errors due to “incorrect selection”.

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