An automatic method for video character segmentation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5112 LNCS, Issue , 2008, Pages 557-566

  Saidane, Zohra ^a   Garcia, Christophe ^a  

^a ORANGE LABS   (France)

Author keywords

Character recognition; Image processing; Neural networks; Text segmentation; Video OCR

Indexed keywords

IMAGE ANALYSIS; IMAGING TECHNIQUES; WORLD WIDE WEB;

AUTOMATIC METHODS; AUTOMATIC SEGMENTATIONS; CHARACTER SEGMENTATION; COLOR IMAGING; COMPLEX BACKGROUNDS; HEIDELBERG (CO); INTERNATIONAL CONFERENCES; LOW RESOLUTION (LR); NATURAL IMAGES; NON-LINEAR FILTERING; OFF-LINE TRAINING; REAL IMAGES; RECOGNITION RATES; ROBUSTNESS AGAINST NOISE; TEXT IMAGES; VIDEO FRAMES; WEB PAGES;

IMAGE ENHANCEMENT;

EID: 47749118817     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-69812-8_55     Document Type: Conference Paper

References (16)

1. Niblack, W.: An Introduction to Digital Image Processing. Prentice-Hall, N.J (1986)
2. Sauvola, J., Seppänen, T., Haapakoski, S., Pietikäinen, M.: Adaptive document binarization. In: International Conference on Document Analysis and Recognition, vol. 1 (1997)
3. Liao, P.S., Chen, T.S., Chung, P.C.: A fast algorithm for multilevel thresholding. Journal of information science and engineering (2001)
4. Garcia, C., Apostolidis, X.: Text detection and segmentation in complex color images. In: IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP 2000, vol. 4 (2000)
5. Lienhart, R., Wernicke, A.: Localizing and segmenting text in images and videos. IEEE Transactions on circuits and systems for video technology 12(14) (2002)
6. Saidane, Z., Garcia, C.: Robust binarization for video text recognition. In: Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR), vol. 2 (2007)
7. Sato, T., Kanade, T., Hughes, E., Smith, M.: Video ocr for digital news archive. In: Proceedings of the International Workshop on Content-Based Access of Image and Video Databases (CAIVD 1998) (1998)
8. Horowitz, S., Pavlidis, T.: Picture segmentation by a tree traversal algorithm. ACM 2 (1976)
9. Karatzas, D., Antonacopoulos, A.: Text extraction from web images based on a split-and-merge segmentation method using colour perception. In: Proceedings of the 17th International Conference on Pattern Recognition. ICPR, 2004, vol. 2 (2004)
10. Kopf, S., Haenselmann, T., Effelsberg, W.: Robust character recognition in low-resolution images and videos. Technical report, Department for Mathematics and Computer Science, University of Mannheim (2005)
11. Burges, C., Matan, O., LeCun, Y., Denker, J., Jackel, L., Stenard, C., Nohl, C., Ben, J.: Shortest path segmentation: A method for training a neural network to recognize character strings. In: Proceedings of the International Joint Conf. Neural Networks, vol. 3 (1992)
12. Chen, D., Odobez, J., Thiran, J.: Monte carlo text segmentation. Int. journal of Pattern Recognition and Artificial Intelligence (2005)
13. Sato, T., Kanade, T., Hughes, E., Smith, M., Satoh, S.: Video ocr: Indexing digital news libraries by recognition of superimposed captions. In: ACM Multimedia Systems Special Issue on Video Libraries (1998)
14. LeCun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient based learning applied to document recognition. Proc. of the IEEE (1998)
15. Garcia, C., Delakis, M.: Convolutional face finder: A neural architecture for fast and robust face detection. IEEE Transactions on pattern analysis and machine intelligence 26 (2004)
16. Saidane, Z., Garcia, C.: Automatic scene text recognition using a convolutional neural network. In: Proceedings of the Second International Workshop on Camera-Based Document Analysis and Recognition (CBDAR) (2007)