Experiential sampling in multimedia systems

IEEE Transactions on Multimedia

Volumn 8, Issue 5, 2006, Pages 937-946

  Kankanhalli, Mohan S ^b   Wang, Jun ^c   Jain, Ramesh ^a,d  

^a IEEE   (United States)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^c Delft University of Technology ^*  (Netherlands)

^d Ringgold Standard Institution Informatics   (United States)

Author keywords

Dynamical systems; Experiential computing; Experiential sampling; Sampling; Visual attention

Indexed keywords

DYNAMICAL SYSTEMS; EXPERIENTIAL COMPUTING; EXPERIENTIAL SAMPLING; VISUAL ATTENTION;

DATA FLOW ANALYSIS; DATA STRUCTURES; PROBLEM SOLVING; REAL TIME SYSTEMS;

MULTIMEDIA SYSTEMS;

EID: 33749527339     PISSN: 15209210     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMM.2006.879876     Document Type: Article

References (26)

1. P. Viola and M. J. Jones, Robust Real-Time Object Detection Compaq Cambridge Res. Lab., Cambridge, MA, Tech. Rep. CRL 2001/01, 2001.
2. S. Z. Li, L. Zhu, Z.-Q. Zhang, A. Blake, H.-J. Zhang, and H. Shum, "Statistical learning of multi-view face detection," in Proc. 7th European Conf. Computer Vision, Copenhagen, Denmark, 2002.
3. B. J. Scholl, "Objects and attention: the state of the art," Cognition, vol. 80, pp. 1-46, 2001.
4. R. Jain, "Experiential computing," Commun. ACM, vol. 46, no. 7, pp. 48-55, 2003.
5. D. Chung, R. Hirata, T. N. Mundhenk, J. Ng, R. J. Peters, E. Pichon, A. Tsui, T. Ventrice, D. Walther, P. Williams, and L. Itti, "A new robotics platform for neuromorphic vision: beobots," in Proc. 2nd Workshop on Biologically Motivated Computer Vision (BMCV'02), Tuebingen, Germany, 2002.
6. L. Itti and C. Koch, "Computational modeling of visual attention," Nature Rev. Neurosci., vol. 2, no. 3, pp. 194-203, 2001.
7. D. Walther, L. Itti, M. Riesenhuber, T. Poggio, and C. Koch, "Attentional selection for object recognition - a gentle way," in Proc. 2nd Workshop on Biologically Motivated Computer Vision (BMCV'02), Tuebingen, Germany, 2002, pp. 412-419.
8. V. Navalpakkam and L. Itti, "A goal oriented attention guidance model," in Proc. 2nd Workshop on Biologically Motivated Computer Vision (BMCV'02), Tuebingen, Germany, 2002, pp. 453-461.
9. H. Lieberman and T. Selker, "Out of context: computer systems that adapt to, and learn from, context," IBM Syst. J., vol. 39, no. 3&4, pp. 617-632, 2000.
10. J. Wang, R. Achanta, and M. S. Kankanhalli, "A hierarchical framework for face tracking using state vector fusion for compressed video," in Proc. 28th Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP 2003), 2003.
11. J. Wang, "Detecting and Tracking Human Faces in Compressed Domain for Content Based Video Indexing," M.S. thesis, School of Computing, National Univ. Singapore, Singapore, 2002.
12. A. Doucet, S. Godsill, and C. Andrieu, "On sequential Monte Carlo sampling methods for bayesian filtering," Statist. Comput., vol. 10, no. 3, pp. 197-208, 2000.
13. L. Itti and C. Koch, "Feature combination strategies for saliency-based visual attention systems," J. Electron. Imag., vol. 10, no. 1, pp. 161-169, 2001.
14. J. Carpenter, P. Clifford, and P. Fearnhead, Building Robust Simulation-Based Filters for Evolving Data Sets Dept. Statistics, Univ. Oxford, Oxford, U.K., 1999 [Online], Available: http://www.stats.ox.ac.uk/pub/clifford/ Particle_Filters/jj.Abstract.html, Tech. Rep.
15. A. Torralba, "Contextual priming for object detection," Int. J. Comput. Vis., vol. 53, no. 2, pp. 169-191, 2003.
16. A. Jepson, W. Richards, and D. Knill, "Modal structures and reliable inference," in Perception as Bayesian Inference, D. Knill and W. Richards, Eds. New York: Cambridge Univ. Press, 1996, pp. 63-92.
17. B. Moghaddam and A. Pentland, "Probabilistic visual learning for object representation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 19, no. 7, pp. 696-710, 1997.
18. J. Liu and R. Chen, "Sequential Monte Carlo for dynamic systems," J. Amer. Statist. Assoc., vol. 93, pp. 1031-1041, 1998.
19. U. Neisser, Cognition and Reality. San Francisco, CA: W. H. Freeman, 1976.
20. C. Neti, B. Maison, A. Senior, G. Iyengar, P. Decuetos, S. Basu, and A. Verma, "Joint processing of audio and visual information for multimedia indexing and human-computer interaction," in Proc. RIAO (Computer Assisted Information Retrieval), France, 2002.
21. G. Iyengar, H. Nock, and C. Neti, "Audio-visual synchrony for detection of monologues in video archives," in Proc. ICASSP, 2003.
22. D. Li, N. Dimitrova, M. Li, and I. Sethi, "Multimedia content processing through cross-modal association," in Proc. ACM Int. Conf. Multimedia (ACM MM 2003), Berkeley, 2003.
23. R. Jain, "Semantics in multimedia systems," in Keynote talk at Int. Conf. Multi-Media Modelling, Taipei, Taiwan, Ja. 8-10, 2003.
24. D. MacKay, Information Theory, Inference, and Learning Algorithms. Cambridge, U.K.: Cambridge Univ. Press, 2003.
25. Z. Ghahramani and G. Hinton, Parameter Estimation for Linear-Dynamical Systems Dept. Comp. Sci., Univ. Toronto, Toronto, ON, Canada, Tech. Rep. CRG-TR-96-2, 1996 [Online]. Available: http://www.cs.toronto.edu/~hinton/absps/ tr96-2.html
26. M. S. Kankanhalli, J. Wang, and R. Jain, "Experiential sampling on multiple data streams," IEEE Trans. Multimedia, vol. 8, no. 5, pp. 947-955, Oct. 2006.