Abstract
With the rapid increase in digital video capture and editing technologies in recent times there is a great demand for Semantic-based Video Analysis and indexing algorithms. Video Text is an important semantic clue in video content analysis such as video information retrieval and summarization.In this paper, a Video text detection and localization algorithm is proposed that extracts the Eigen feature embodied in wavelet edge map. Also described is an iterative variance based threshold calculation method for Video text binarization. Experimental results on diverse videos demonstrate the robustness and efficiency of proposed method for detecting and recognizing superimposed text and multi-oriented scene text.
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References
Jawahar Anand Mishra, C.V., Alahari, K.: An mrf model for binarization of natural scene text. In: International Conference on Document Analysis and Recognition (ICDAR) (2011)
Ofek, E., Epshtein, B., Wexler, Y.: Detecting text in natural scenes with stroke width transform. In: Proc. of Computer Vision and Pattern Recognition (2010)
Wang, C., Liu, C., Dai, R.: Text detection in images based on unsupervised classification of edge-based features. In: IEEE ICDAR (2005)
Jung, K., Lee, C.W., Kim, H.J.: Automatic text detection and removal in video sequences. Pattern Recognition Letters (2003)
Liu, W., Ma, Y., Yao, C., Bai, X., Tu, Z.: Detecting texts of arbitrary orientations in natural images. In: CVPR (2012)
Doermann, D., Li, H., Kia, O.: Automatic text detection and tracking in digital video. IEEE Transactions on Image Processing (2000)
Yang, H.S.H., Quehl, B.: Text detection in video images using adaptive edge detection and stroke width verification. In: IWSSIP (2013)
Dunn, J.C.: A fuzzy relative of the isodata process and its use in detecting compact, well separated cluster. Cybernatics (1973)
Ewerth, R., Gllavata, J., Phan, T.-Q., FreislebenP. Shivakumara, B., Tan, C.-L.: Video text detection based on filters and edge features. In: Proc. of the 2009 Int. Conf. on Multimedia and Expo (2009)
Sauvola, J.J., Pietikainen, M.: Adaptive document image binarization. Pattern Recognition (2000)
Hua, X.-S., Xi, J.: A video text detection and recognition system. In: IEEE International Conference on Multimedia and Expo (2001)
Effelsberg, W., Lienhart, R.: Automatic text segmentation and text recognition for video indexing. In: ACM/Springer Multimedia Sys. (2000)
Mariano, V.Y., Kasturi, R.: Locating uniform-colored text in video frames. In: Proc. 15th Int. Conf. Pattern Recognition (2000)
Kender., J.R., Merler, M.: Semantic keyword extraction via adaptive text binarization of unstructured unsourced video. In: 16th IEEE International Conference on Image Processing (ICIP) (2009)
Li, S., Zhao, M., Kwok, J.: Text detection in images using sparse representation with discriminative dictionaries. Journal of Image and Vision Computing (2010)
Otsu, N.: A threshold selection method from gray-level histograms. IEEE Trans. Syst., Man, Cybern. (1979)
Tan, C.L., Shivakumara, P., Huang, W.H.: Efficient video text detection using edge features. In: ICPR (2008)
Wang, W., Zeng, W., Ye, Q., Gao, W.: A robust text detection algorithm in images and video frames. Information, Communications and Signal Processing (2003)
Gao, W., Ye, Q., Huang, Q., Zhao, D.: Fast and robust text detection in images and video frames. Image and Vision Computing (2005)
Saidane, Z., Garcia, C.: Robust binarization for video text recognition. In: International Conference on Document Analysis and Recognition (ICDAR) (2007)
Hughes, E.K., Sato, T., Kanade, T., Smith, M.A.: Video ocr for digital news archive. In: Proc. IEEE International Workshop on Content Based Access of Image and Video Libraries (1998)
Niblack, W.: An introduction to digital image processing. Prentice Hill (1986)
Lam, K.K.M., Mao, W., Chung, F., Siu, W.: Hybrid chinese/english text detection in images and video frames. In: ICPR (2002)
Jain, A.K., Zhong, Y., Zhang, H.J.: Automatic caption localization in compressed video. IEEE Transactions on PAMI (2000)
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Sudir, P., Ravishankar, M. (2014). An Effective Approach Towards Video Text Recognition. In: Thampi, S., Gelbukh, A., Mukhopadhyay, J. (eds) Advances in Signal Processing and Intelligent Recognition Systems. Advances in Intelligent Systems and Computing, vol 264. Springer, Cham. https://doi.org/10.1007/978-3-319-04960-1_29
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DOI: https://doi.org/10.1007/978-3-319-04960-1_29
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04959-5
Online ISBN: 978-3-319-04960-1
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