Video script identification based on text lines

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

Volumn , Issue , 2011, Pages 1240-1244

  Phan, Trung Quy ^a   Shivakumara, Palaiahnakote ^a   Ding, Zhang ^a   Lu, Shijian ^b   Tan, Chew Lim ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

Author keywords

Cursiveness; Smoothness; Upper and lower points; Video scrpt line identification; Video text line

Indexed keywords

AVERAGE ANGLE; CANNY EDGES; CONNECTED COMPONENT; CURSIVENESS; EXTREME POINTS; OCR ENGINES; SCRIPT IDENTIFICATION; SMOOTHNESS; TEXT DETECTION; TEXT LINES; UPPER AND LOWER POINTS; VIDEO FRAME;

BEHAVIORAL RESEARCH;

CHARACTER RECOGNITION;

EID: 82355175685     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2011.250     Document Type: Conference Paper

References (20)

1. J. Gllavata and B. Freisleben, "Script Recognition in Images with Complex Backgrounds", In Proc. IEEE International Symposium on Signal Processing and Information Technology, 2005, pp 589-594.
2. J. Zang and R. Kasturi, "Extraction of Text Objects in Video Documents: Recent Progress", In Proc. DAS 2008, pp 5-17
3. K. Jung, K.I. Kim and A.K. Jain, "Text information extraction in images and video: a survey", Pattern Recognition 37, 2004, pp. 977-997. (Pubitemid 38473840)
4. D. Doermann, J. Liang and H. Li, "Progress in Camera-Based Document Image Analysis", In Proc. ICDAR 2003, pp 606- 616.
5. P. Shivakumara, T, Q. Phan and C. L. Tan, "A Laplacian Approach to Multi-Oriented Text Detection in Video", IEEE Transactions on PAMI 2011, pp 412-419.
6. C. Wolf and J. M Jolion, "Extraction and Recognition of artificial text in multimedia documents", Pattern Analysis and Applications 2003, pp 309-326. (Pubitemid 38361548)
7. D. Chen and J. M. Odobez, "Video text recognition using sequential Monte Carlo and error voting methods", Pattern Recognition Letters 26, 2005, pp 1386-1403. (Pubitemid 40644701)
8. X. Tang, X. Gao, J. Liu and H. Zhang, "A Spatial-Temporal Approach for Video Caption Detection and Recognition", IEEE Transactions on Neural Networks 2002, pp 961-971.
9. S. H. Lee and J. H. Kim, "Complementary combination of holistic and component analysis for recognition of low resolution video character images", Patten Recognition Letters 29, 2008, pp 383-391.
10. D. Ghosh, T. Dube and A. P. Shivaprasad, "Script Recognition-Rview", IEEE Ttansactios on PAMI 2010, pp 2142-2161.
11. T.N. Tan, "Rotation Invariant Texture Features and Their Use in Automatic Script Identification", IEEE Transactions on PAMI 1998, pp 751-756.
12. A. Busch, W. W. Boles and S. Sridharan, "Texture for Script Identification", IEEE Transactions on PAMI 2005, pp 1720- 1732.
13. L. Shijian and C. L. Tan, "Script and Language Identification in Noisy and Degraded Document Images", IEEE Transaction on PAMI 2008, pp 14-24.
14. S. Jaeger, H. Ma and D. Doermann, "Identifying Script on Word-Level with Informational Confedence", In Proc. ICDAR 2005, pp 416-420.
15. P. B. Pati and A. G. Ramakrishnan, "Word level multi-script identification", Pattern Recognition Letters 2008, pp 1218- 1229.
16. S. Chanda, S. Pal, K. Franke and U. Pal, "Two-stage Apporach for Word-wise Script Identification", In Proc. ICDAR 2009, pp 926-930.
17. S. Chanda, O. R. Terrades and U. Pal, "SVM Based Scheme for Thai and English Script Identification", In Proc. ICDAR 2007, pp 551-555
18. L. Li and C. L. Tan, "Script Identification of Camera-based Images", In Proc. ICPR 2008.
19. A. M. Namboodiri and A. K. Jain, "On-line Script Recognition", In Proc. ICPR 2002, pp 736-739.
20. P.Shivakumara, Deepu Rajan and Suresh A. Sadanathan, "Classification of Images: Are Rule based Systems effective when Classes are fixed and known?", In Proc. ICPR 2008.