An assisted photography method for street scenes

2011 IEEE Workshop on Applications of Computer Vision, WACV 2011

Volumn , Issue , 2011, Pages 89-94

  Vázquez, Marynel ^a   Steinfeld, Aaron ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERA ORIENTATION; COMPUTATIONAL APPROACH; GESTALT THEORY; GROUND TRUTH; IMAGE COMPOSITION; OPTIC FLOW; OPTIMIZED IMPLEMENTATION; REGION OF INTEREST; SALIENCY MAP; TILT SENSOR; USER STUDY; VISUAL IMPAIRMENT; VISUAL INFORMATION;

CAMERAS; COMPUTER APPLICATIONS; IMAGE SEGMENTATION; TELECOMMUNICATION EQUIPMENT;

COMPUTER VISION;

EID: 79952518031     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WACV.2011.5711488     Document Type: Conference Paper

References (36)

1. R. Achanta, S. Hemami, F. Estrada, and S. Susstrunk. Frequency-tuned salient region detection. In Proc. CVPR, pages 1597-1604, 2009.
2. S. Bae, A. Agarwala, and F. Durand. Computational rephotography. ACM Trans. Graph., 29(3):1-15, 2010.
3. P. Bian and L. Zhang. Biological plausibility of spectral domain approach for spatiotemporal visual saliency. In Proc. ICONIP, pages 251-258, 2008.
4. J. P. Bigham, C. Jayant, A. Miller, B. White, and T. Yeh. VizWiz:: LocateIt - Enabeling Blind People to Locate Objects in Their Environment. In Proc. CVAVI, 2010.
5. J.-Y. Bouget. Pyramidal Implementation of the Lucas Kanade Feature Tracker: Description of the algorithm. Technical report, MRL, Intel Corporation, 1999.
6. F. Chang, C.-J. Chen, and C.-J. Lu. A linear-time component-labeling algorithm using contour tracing technique. Comput. Vis. Image Underst., 93(2):206-220, 2004.
7. L. Chen, X. Xie, X. Fan, W.-Y. Ma, H.-J. Zhang, and H. Zhou. A visual attention model for adapting images on small displays. Technical Report MSR-TR-2002-125, Microsoft Research, 2002.
8. C. Christopoulos, A. Skodras, and T. Ebrahimi. The JPEG2000 still image coding system: an overview. IEEE Trans. Consum. Electron., 46(4):1103-1127, Nov. 2000.
9. M. Desnoyer and D. Wettergreen. Aesthetic Image Classification for Autonomous Agents. In Proc. ICPR, 2010.
10. A. Desolneux, L. Moisan, and J.-M. Morel. From Gestalt Theory to Image Analysis: A Probabilistic Approach. 2007.
11. B. Deville, G. Bologna, M. Vinckenbosch, and T. Pun. Guiding the focus of attention of blind people with visual saliency. In Proc. CVAVI, 2008.
12. M. Dixon, C. M. Grimm, and W. D. Smart. Picture composition for a robot photographer. Technical Report WUCSE-2003-52, Washington University in St. Louis, 2003.
13. S. Frintrop. VOCUS: A Visual Attention System for Object Detection and Goal-Directed Search. PhD thesis, University of Bonn, 2006.
14. S. Frintrop, E. Rome, and H. I. Christensen. Computational visual attention systems and their cognitive foundations: A survey. ACM Trans. Appl. Percept., 7(1):1-39, 2010.
15. C. Guo, Q. Ma, and L. Zhang. Spatio-temporal saliency detection using phase spectrum of quaternion fourier transform. In Proc. CVPR, 2008.
16. X. Hou and L. Zhang. Saliency detection: A spectral residual approach. In Proc. CVPR, 2007.
17. L. Itti and C. Koch. Computational modelling of visual attention. Nature Reviews Neuroscience, 2(3):194-203, 2001. (Pubitemid 33673372)
18. G. Klein and D. Murray. Parallel tracking and mapping on a camera phone. In Proc. ISMAR, pages 83-86, 2009.
19. K. Koffka. Principles of Gestalt Psychology. Harcourt, Brace & Company, 1935.
20. J. Luo, A. Singhal, and A. Savakis. Efficient mobile imaging using emphasis image selection. In Proc. PICS, 2003.
21. Y.-F. Ma and H.-J. Zhang. Contrast-based image attention analysis by using fuzzy growing. In Proc. ACM MM, 2003.
22. L. Marchesotti, C. Cifarelli, and G. Csurka. A framework for visual saliency detection with applications to image thumbnailing. In Proc. ICCV, 2009.
23. E. Rosten and T. Drummond. Machine learning for highspeed corner detection. In ECCV 2006, volume 3951 of Lecture Notes in Computer Science, pages 430-443. 2006. (Pubitemid 44029797)
24. M. Rubinstein, A. Shamir, and S. Avidan. Improved seam carving for video retargeting. ACM Trans. Graph., 27(3):1-9, 2008.
25. B. C. Russell, A. Torralba, K. P. Murphy, and W. T. Freeman. Labelme: A database and web-based tool for image annotation. Int. J. Comput. Vision, 77(1-3):157-173, 2008.
26. U. Rutishauser, D. Walther, C. Koch, and P. Perona. Is bottom-up attention useful for object recognition? In Proc. CVPR, 2004.
27. A. E. Savakis, S. P. Etz, and A. C. Loui. Evaluation of image appeal in consumer photography. In Proc. SPIE, 2000.
28. V. Setlur, S. Takagi, R. Raskar, M. Gleicher, and B. Gooch. Automatic image retargeting. In Proc. MUM, 2005.
29. C. Siagian and L. Itti. Biologically inspired mobile robot vision localization. IEEE Transactions on Robotics, 25(4):861-873, July 2009.
30. A. Steinfeld, R. Aziz, L. Von Dehsen, S. Y. Park, J. Maisel, and E. Steinfeld. Modality preference for rider reports on transit accessibility problems. TRB 2010 Annual Meeting. Washington, DC: Transportation Research Board, 2010.
31. A. Steinfeld, J. Maisel, and E. Steinfeld. The value of citizen science to promote transit accessibility. In First International Symposium on Quality of Life Technology, July 2009.
32. B. Suh, H. Ling, B. B. Bederson, and D. W. Jacobs. Automatic thumbnail cropping and its effectiveness. In Proc. UIST, 2003.
33. M. M. Uslan, A. F. Peck, W. R. Wiener, and A. Stern. Access to mass transit for blind and visually impaired travelers. AFB Press, 1990.
34. M. Vazquez and C. Chang. Real-time video smoothing for small RC helicopters. In Proc. SMC, 2009.
35. D. Walther and C. Koch. Modeling attention to salient proto-objects. Neural Networks, 19(9):1395 - 1407, 2006. (Pubitemid 44708603)
36. Z. Wang and B. Li. A two-stage approach to saliency detection in images. In Proc. ICASSP, pages 965-968, mar. 2008.