Finding interesting images in albums using attention

Journal of Multimedia

Volumn 3, Issue 4, 2008, Pages 2-13

  Vaiapury, Karthikeyan ^a   Kankanhalli, Mohan S ^b  

^a Satyam Computer Services Limited   (Singapore)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Albums; Information search and retrieval; Interestingness; Multimedia Echronicles; Relevance Feedback; Visual Attention

Indexed keywords

ARTIFICIAL INTELLIGENCE; MULTIMEDIA SYSTEMS;

ALBUMS; INFORMATION SEARCH AND RETRIEVAL; INTERESTINGNESS; MULTIMEDIA ECHRONICLES; RELEVANCE FEEDBACK; VISUAL ATTENTION;

BEHAVIORAL RESEARCH;

EID: 78651531604     PISSN: 17962048     EISSN: None     Source Type: Journal    
DOI: 10.4304/jmm.3.4.2-13     Document Type: Article

References (45)

1. D.Berg, S. Boehnke, R. Marino, P. Baldi, D. Munoz and L. Itti, Characterizing Surprise in Humans and Monkeys, In: HFSP (Human Frontier Scienre Program) 6th Annual Meeting}, Paris, France, 2006
2. O.Boiman and M.Irani, Detecting Irregularities in Images and in Video, 10th IEEE International Conference on Computer Vision (ICCV' 05), pp 462-469, ISBN 0-7695-2334-X, 2005.
3. S.ButterField, E.Costello, C.Fake, H.Begg, C.James, M.Sergeui, and E.Schachter, Interestingness ranking for media objects, United states Patent Application No 0060242139, 2006
4. L.Chen, X.Xie, X.Fan, W.Ma, H.Zhang and H.Zhou, A visual attention model for adopting images on small displays, Multimedia Systems, Springer-Verlag, 2003
5. M.Dubinko, R.Kumar, J.Magnani, P.Raghavan and A.Tomkins, Visualizing Tags over Time, In Proceedings of the 15th International Conference on World Wide Web WWW'06. }, pp 193-202, 2006
6. D.R.Edgington, D.Walther, D.E.Cline, R.Sherlock, K.A.Salamy, A.Wilson and C.Koch, Detecting Visual Events in Underwater Video using a Neuromorphic Saliency-based Attention System, Eos Trans. AGU, 84(46), Fall Meet. Suppl., Abstract H11F-0912, 2003
7. D.R.Edgington, I.Kerkez, D.E.Cline, D.Oliver, M.A.Ranzato and P.Perona, Detecting, Tracking and Classifying Animals in Underwater Video, IEEE International Conference on Computer Vision and Pattern Recognition CVPR, 2004
8. D.R.Edgington, D.Walther, Detection of visual events in underwater video using a neuromorphic saliency-based attention system, Workshop on Neuromorphic Engineering, 2002
9. J.Gray, What next?: A Dozen Information Technology Research goals, Microsoft Technical Report, MS-TR-99-50, 1999
10. M.W.Hoffman, David B. Grimes, Aaron P. Shon and Rajesh P.N. Rao, A probabilistic model of gaze imitation and shared attention. Neural Networks. Vol 19, 3, pp 299-310, 2006
11. Y.Hu, X.Xie, Z.Chen Wei, YingMa, Attention Model Based Progressive Image Transmission, Proceedings of the 33rd Hawaii International Conference on System Sciences, Vol 3, pp 3037, 2000
12. L.Itti and P.Baldi, Bayesian Surprise Attracts Human Attention, Advances in Neural Information Processing Systems NIPS, Vol 19, pp 1-8, 2005
13. L.Itti and C.Koch, Computational modeling of visual attention, Nature Reviews: Neuroscience, Macmillan Magazines Limited, Vol 2, Issue 3, pp 194-203, 2001
14. L.Itti and P.Baldi, A Principled Approach to Detecting Surprising Events in Video, Proc. IEEE Conference on Computer Vision and Pattern Recognition CVPR 05, pp 631-637, 2005
15. A.Jaimes, S.F.Chang and A.C.Loui, Detection of non-identical duplicate consumer photographs, Pacific Rim International Conference on Multimedia, Vol 1, pp 16-20, 2003
16. James, Classics in the History of Psychology, Chapter 11, http:// psychclassics.yorku.ca/James/Principles/prin11.htm
17. M.S.Kankanhalli, J.Wang and R.Jain, Experiential based sampling on Multiple Data Streams, Proceedings of the ACM International Conference on Multimedia MM, 2003
18. M.S.Kankanhalli, J. Wang and R. Jain, Experiential Sampling on Multimedia Data Streams, IEEE Transactions on Multimedia, Vol 9, 1, 2006
19. H.C.Lau, R.D.Rogers, P.Haggard and R.E.Passingham, Attention to Intention, Science, 303, 1208, DOI: 10: 1126/science. 1090973, 2004
20. L.Ledwich and S.Williams, Reduced SIFT Features For Image Retrieval and Indoor Localisation, Australian Conference on Robotics and Automation, 2004
21. D.G.Lowe, Distinctive image features from scale invariant key points, International Journal of Computer Vision, pp 91-110, 2004
22. J.Luo and A.Singhal, On Measuring Low-Level Saliency in Photographic Images, Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR'00), Vol 1, pp 84-89, 2000
23. Y.Ma, X.Sheng Hua, L.Lu and H.Zhang, A generic framework of user Attention Model and Its Application in Video Summarization, Journal of the IEEE Transactions on Multimedia, Vol 7, No 5, pp 907-919, 2005
24. Y.Ma and L.Lu, H.Zhang and M.Li, A User Attention model for video summarization, Proceedings of the ACM Multimedia MM, pp 533-542, 2002
25. Y.Ma, H.Zhang, Contrast-based Image Attention Analysis by Using Fuzzy Growing, Proceedings of the Eleventh ACM International Conference on Multimedia MM, Vol 49, Issue 1, 2006
26. K.Mikolajczyk and C.Schmid, A performance evaluation of local detector and descriptors, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol 27, No 10, pp 1615-1630, 2005
27. V.Navalpakkam and L.Itti, A Goal Oriented Attention Guidance Model, Proceedings of the Second International Workshop on Biologically Motivated Computer Vision: Lecture Notes In Computer Science, pp 453-461, 2525, Dec 2002
28. V.Navalpalckam and L.Itti, Modeling the influence of task on attention, Vision Research, Vol 49, Issue 1, 2006
29. P.Quelhas, F.Monay, J.M.Odobez, D.Gatica Perez, T.Tuytelaars and L.Van Gool, Modeling Scenes with Local Descriptors and Latent Aspects, Proceedings of the Tenth IEEE International Conference on Computer Vision ICCV, Vol 1, pp 883-890, 2005
30. Rugg, Cognitive Neuroscience, First MIT Press edition, pp 221, 1997
31. Taylor, The Natural History of the Mind, Chapter 12, pp 182-184, Martin Secker and Warburg Limited, 1979
32. J.Teevan, W.Jones and B.B.Bederson, Personal Information Management: Introduction, Communications of ACM, Vol 49, Issue 1, 2006
33. K.Vaiapury, P.K.Atrey, M.S.Kankanhalli and K.R.Ramakrishnan, Non Identical Video Duplicate Detection using SIFT method, International Conference on Visual Information in Engineering, VIE, pp 537-542, 2006
34. D.Walther, D.R. Edgington and C.Koch, Detection and Tracking of Objects in Underwater Video, IEEE International Conference on Computer Vision and Pattern Recognition CVPR, 2004
35. D.Walther, U.Rutishauser, C.Koch and P.Perona, Selective visual attention enables learning and recognition of multiple objects in cluttered scenes, Computer Vision and Image Understanding, pp 41-63, 2005
36. D.Walther, Interactions of visual attention and object recognition: computational modeling, algorithms, and psychophysics. PhD thesis, California Institute of Technology, Pasadena, CA, Chapter 2, 23rd February 2006
37. J.Wang and M.S.Kankanhalli, Experiential based sampling for multimedia analysis, Proceedings of the ACM International Conference on Multimedia, 2003
38. G.Wang, T.T.Wong and P.A.Heng, Real-Time Surveillance Video Display with Salience, Proceedings of the third ACM international workshop on Video surveillance and sensor networks (VSSN'05), pp 37-44, ISBN:1-59593-242-9, 2005
39. H.Wolf and D.Deng, How interesting is this? Finding interest hotspots and ranking images using an MPEG-7 visual attention model, Annual Colloqium of Spatial Research Centre, (SIRC'05), 2005
40. J.M.Wolfe and T.S.Horowitz, What attributes guide the deployment of visual attention and how do they do it?, Nature Reviews Neuroscience pp 1-7, 2004
41. J.M.Wolfe, How might the rules that govern visual search constrain the design of visual displays, Brigham and Women's Hospital & Harvard Medical School, 2005
42. Yahoo's Flickr, http://www.flickr.com
43. Yahoo's Flickr Interestingness http://www.flickr.com/explore/interesting/ 7days/
44. S.Yu, D.Cai, J.Wen and W.Ma, Improving Pseudo Relevance feedback in Web Information Retrieval Using Web page segmentation, Proceedings of The Twelfth International World Wide Web Conference (WWW'03), 2003
45. X.Zhou and T.Huang, Relevance Feedback in Image Retrieval: A Comprehensive Review, Proceedings of CVPR Content based Access of Image and Video Libraries (CBAIVL'03), 2003