Detecting texts of arbitrary orientations in natural images

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2012, Pages 1083-1090

  Yao, Cong ^a,b   Bai, Xiang ^a,b   Liu, Wenyu ^a   Ma, Yi ^b   Tu, Zhuowen ^b,c  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b MICROSOFT RESEARCH ASIA   (China)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARBITRARY ORIENTATION; BENCHMARK DATASETS; CLASSIFICATION SCHEME; COMPETING ALGORITHMS; DATA SETS; INTRINSIC CHARACTERISTICS; NATURAL IMAGES; NATURAL SCENES; PERFORMANCE EVALUATION; REAL-WORLD SCENARIO; STATE-OF-THE-ART ALGORITHMS; TEXT DETECTION; VISION SYSTEMS;

BENCHMARKING; COMPUTER VISION; DATA PROCESSING;

ALGORITHMS;

EID: 84866640582     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2012.6247787     Document Type: Conference Paper

References (30)

1. S. Belongie, J. Malik, and J. Puzicha. Shape matching and object recognition using shape contexts. IEEE Trans. PAMI, 2002.
2. A. Bosch, A. Zisserman, and X. Munoz. Representing shape with a spatial pyramid kernel. In Proc. CIVR, 2007.
3. G. R. Bradski. Real time face and object tracking as a component of a perceptual user interface. In Proc. IEEE Workshop on Applications of Computer Vision, 1998.
4. L. Breiman. Random forests. Machine Learning, 2001.
5. J. F. Canny. A computational approach to edge detection. IEEE Trans. PAMI, 1986.
6. X. Chen and A. Yuille. Detecting and reading text in natural scenes. In Proc. CVPR, 2004.
7. B. Epshtein, E. Ofek, and Y.Wexler. Detecting text in natural sceneswith stroke width transform. In Proc. CVPR, 2010.
8. M. Everingham, L. V. Gool, C. K. I. Williams, J.Winn, and A. Zisserman. The pascal visual object classes (voc) challenge. IJCV, 2010.
9. H. Freeman and R. Shapira. Determining the minimum-area encasing rectangle for an arbitrary closed curve. Comm. ACM, 1975.
10. J. Gllavata, R. Ewerth, and B. Freisleben. Text detection in images based on unsupervised classification of high-frequency wavelet coefficients. In Proc. ICPR, 2004.
11. C. Gu, J. Lim, P. Arbelaez, and J. Malik. Recognition using regions. In Proc. CVPR, 2009.
12. T. Hastie, R. Tibshirani, and J. Friedman. The elements of statistical learning: Data mining, inference, and prediction, second edition. New York: Springer, 2009.
13. X. S. Hua, W. Liu, and H. J. Zhang. An automatic performance evaluation protocol for video text detection algorithms. IEEE Trans. CSVT, 2004.
14. A. Jain and B. Yu. Automatic text location in images and video frames. PR, 1998.
15. K. Jung, K. Kim, and A. Jain. Text information extraction in images and video: a survey. PR, 2004.
16. K. I. Kim, K. Jung, and J. H. Kim. Texture-based approach for text detection in images using support vector machines and continuously adaptive mean shift algorithm. IEEE Trans. PAMI, 2003.
17. S. Lazebnik, C. Schmid, and J. Ponce. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In Proc. CVPR, 2006.
18. H. P. Li, D. Doermann, and O. Kia. Automatic text detection and tracking in digital video. IEEE Trans. IP, 2000.
19. J. Liang, D. Doermann, and H. Li. Camera-based analysis of text and documents: a survey. IJDAR, 2005.
20. S. M. Lucas. Icdar 2005 text locating competition results. In Proc. ICDAR, 2005.
21. S. M. Lucas, A. Panaretos, L. Sosa, A. Tang, S. Wong, and R. Young. Icdar 2003 robust reading competitions. In Proc. ICDAR, 2003.
22. L. Neumann and J. Matas. A method for text localization and recognition in real-world images. In Proc. of ACCV, 2010.
23. Y. Pan, X. Hou, and C. Liu. A hybrid approach to detect and localize texts in natural scene images. IEEE Trans. IP, 2011.
24. A. Shahab, F. Shafait, and A. Dengel. Icdar 2011 robust reading competition challenge 2: Reading text in scene images. In Proc. ICDAR, 2011.
25. E. Shechtman and M. Irani. Matching local self-similarities across images and videos. In Proc. CVPR, 2007.
26. P. Shivakumara, T. Q. Phan, and C. L. Tan. A laplacian approach to multioriented text detection in video. IEEE Trans. PAMI, 2011.
27. K. Wang and S. Belongie. Word spotting in the wild. In Proc. ECCV, 2010.
28. X. Wang, X. Bai, W. Liu, and L. J. Latecki. Feature context for image classification and object detection. In Proc. CVPR, 2010.
29. C. Yi and Y. Tian. Text string detection from natural scenes by structure-based partition and grouping. IEEE Trans. IP, 2011.
30. M. Zhao, S. T. Li, and J. Kwok. Text detection in images using sparse representation with discriminative dictionaries. IVC, 2010.