Visual saliency models for text detection in real world

PLoS ONE

Volumn 9, Issue 12, 2014, Pages

  Gao, Renwu ^a   Uchida, Seiichi ^a   Shahab, Asif ^b   Shafait, Faisal ^c   Frinken, Volkmar ^a  

^a KYUSHU UNIVERSITY   (Japan)

^b GERMAN RESEARCH CENTER FOR ARTIFICIAL INTELLIGENCE DFKI   (Germany)

^c UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; BIBLIOGRAPHIC DATABASE; COLOR; IMAGE PROCESSING; ITTI MODEL; NONBIOLOGICAL MODEL; OTSU GLOBAL THRESHOLDING ALGORITHM; RECEIVER OPERATING CHARACTERISTIC; SUPPORT VECTOR MACHINE; VISUAL ORIENTATION; VISUAL SALIENCY MODEL; WORD RECOGNITION; COGNITION; HUMAN; PHYSIOLOGY; READING; THEORETICAL MODEL; VISION; WRITING;

ALGORITHMS; COGNITION; HUMANS; MODELS, THEORETICAL; READING; VISUAL PERCEPTION; WRITING;

EID: 84916620538     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0114539     Document Type: Article

References (26)

1. Frintrop S, Rome E, Christensen HI (2010) Computational visual attention systems and their cognitive foundations: A survey. ACM Transactions on Applied Perception 7: 1-39.
2. Levin D, Simons D (1997) Failure to detect changes to attended objects in motion pictures. Psychonomic Bulletin & Review 4: 501-506.
3. Rensink R (1997) How much of a scene is seen? the role of attention in scene perception. Investigative Ophthalmology & Visual Science 38: 3273.
4. Raymond JE, Shapiro KL, Arnell KM (1992) Temporary suppression of visual processing in an RSVP task: an attentional blink? Journal of experimental psychology 18: 849-860.
5. Treisman AM, Gelade G (1980) A feature-integration theory of attention. Cognitive Psychology 12: 97-136.
6. Koch C, Ullman S (1987) Shifts in selective visual attention: Towards the underlying neural circuitry. In: Vaina LMeditor, Matters of Intelligence, Springer Netherlands. pp. 115-141.
7. Itti L, Koch C, Niebur E (1998) A model of saliency-based visual attention for rapid scene analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence 20: 1254-1259.
8. Borji A, Itti L (2013) State-of-the-art in visual attention modeling. IEEE Transactions on Pattern Analysis and Machine Intelligence 35: 185-207.
9. Uchida S (2014) Text localization and recognition in images and video. In: Doermann D, Tombre Keditors, Handbook of Document Image Processing and Recognition, Springer London. pp. 843-883.
10. Coates A, Carpenter B, Case C, Satheesh S, Suresh B, et al. (2011) Text detection and character recognition in scene images with unsupervised feature learning. In: 2011 International Conference on Document Analysis and Recognition. pp. 440-445.
11. Mishra A, Alahari K, Jawahar C (2012) Top-down and bottom-up cues for scene text recognition. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition. pp. 2687-2694.
12. Lee JJ, Lee PH, Lee SW, Yuille A, Koch C (2011) Adaboost for text detection in natural scene. In: 2011 International Conference on Document Analysis and Recognition. pp. 429-434.
13. Freund Y, Schapire RE (1995) A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences 55: 119-139.
14. Epshtein B, Ofek E, Wexler Y (2010) Detecting text in natural scenes with stroke width transform. In: 2010 IEEE Conference on Computer Vision and Pattern Recognition. pp. 2963-2970.
15. Crandall D, Antani S, Kasturi R (2003) Extraction of special effects caption text events from digital video. International Journal on Document Analysis and Recognition 5: 138-157.
16. th International Conference on Pattern Recognition. pp. 3991-3995.
17. th IAPR International Workshop on Document Analysis Systems. pp. 317-321.
18. Uchida S, Shigeyoshi Y, Kunishige Y, Yaokai F (2011) A keypoint-based approach toward scenery character detection. In: 2011 International Conference on Document Analysis and Recognition. pp. 819-823.
19. Harel J, Koch C, Perona P (2007) Graph-based visual saliency. In: Advances in Neural Information Processing Systems 19. MIT Press, pp. 545-552.
20. Torralba A, Oliva A, Castelhano MS, Henderson JM (2006) Contextual guidance of eye movements and attention in real-world scenes: The role of global features in object search. Psychological Review 113: 766-786.
21. Zhang L, Tong MH, Marks TK, Shan H, Cottrell GW (2008) SUN: A Bayesian framework for saliency using natural statistics. Journal of Vision 8: 32.
22. Butko N, Zhang L, Cottrell G, Movellan JR (2008) Visual saliency model for robot cameras. In: IEEE International Conference on Robotics and Automation. pp. 2398-2403.
23. Achanta R, Hemami S, Estrada F, Susstrunk S (2009) Frequency-tuned salient region detection. In: IEEE Conference on Computer Vision and Pattern Recognition. pp. 1597-1604.
24. Cerf M, Frady EP, Koch C (2009) Faces and text attract gaze independent of the task: Experimental data and computer model. Journal of Vision 9: 1-15.
25. Otsu N (1979) A threshold selection method from gray-level histograms. IEEE Transactions on Systems, Man and Cybernetics 9: 62-66.
26. Ward JH Jr (1963) Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association 58: 236-244.