The social camera: A case-study in contextual image recommendation

International Conference on Intelligent User Interfaces, Proceedings IUI

Volumn , Issue , 2011, Pages 13-22

  Bourke, Steven ^a   McCarthy, Kevin ^a   Smyth, Barry ^a  

^a UNIVERSITY COLLEGE DUBLIN   (Ireland)

Author keywords

Design; Experimentation

Indexed keywords

ASSISTIVE; END USERS; EXPERIMENTATION; REAL-WORLD; REAL-WORLD SCENARIO; SHUTTER SPEED; USER INTERACTION;

DIGITAL CAMERAS; EXPERIMENTS; GRAPHICAL USER INTERFACES; VIDEO CAMERAS;

CAMERAS;

EID: 79952765079     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1943403.1943408     Document Type: Conference Paper

References (24)

1. William Bares and Byungwoo Kim. Generating virtual camera compositions. In Proceedings of the 6th international conference on Intelligent user interfaces, IUI '01, pages 9-12, New York, NY, USA, 2001. ACM. (Pubitemid 32470936)
2. Victoria Bellotti, Bo Begole, and Ed H Chi et al. Activity-based serendipitous recommendations with the magitti mobile leisure guide. In Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems, CHI '08, pages 1157-1166, New York, NY, USA, 2008. ACM.
3. M. Brown and D.G. Lowe. Recognising panoramas. In Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on, pages 1218-1225 vol.2, oct. 2003.
4. M Davis, M Smith, J Canny, N Good, and S King. Towards context-aware face recognition. Proceedings of the 13th annual ACM international conference on Multimedia, pages 483-486, 2005.
5. Anind K. Dey. Understanding and using context. Personal Ubiquitous Computer., 5:4-7, January 2001.
6. Fredo Durand and Richard Szeliski. Guest editors' introduction: Computational photography. IEEE Computer Graphics and Applications, 27:21-22, 2007. (Pubitemid 46523114)
7. Alexei (Alyosha) Efros, Ramesh Raskar, and Steve Seitz. Next billion cameras. In ACM SIGGRAPH 2009 Courses, SIGGRAPH '09, pages 17:1-17:131, New York, NY, USA, 2009. ACM.
8. M. Gaubatz and R. Ulichney. Automatic red-eye detection and correction. In Image Processing. 2002. Proceedings. 2002 International Conference on, volume 1, pages I-804 - I-807 vol.1, Dec. 2002.
9. Maria Håkansson, Sara Ljungblad, Lalya Gaye, and Lars Erik Holmquist. Snapshots from a study of context photography. In CHI '06 extended abstracts on Human factors in computing systems, CHI '06, pages 333-338, New York, NY, USA, 2006. ACM.
10. M. L. Kherfi, D. Ziou, and A. Bernardi. Image Retrieval from the World Wide Web:Issues, Techniques, and Systems. ACM Computing Surveys (CSUR), 36(1), 2004.
11. Ying Liu, Dengsheng Zhang, Guojun Lu, and Wei-Ying Ma. A survey of content-based image retrieval with high-level semantics. Pattern Recogn., 40:262-282, January 2007. (Pubitemid 44486285)
12. D.G. Lowe. Object recognition from local scale-invariant features. In Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on, volume 2, pages 1150-1157 vol.2, August 1999.
13. Andrés Lucero, Marion Boberg, and Severi Uusitalo. Image space: capturing, sharing and contextualizing personal pictures in a simple and playful way. In Proceedings of the International Conference on Advances in Computer Enterntainment Technology, ACE '09, pages 215-222, New York, NY, USA, 2009. ACM.
14. Umberto Panniello, Alexander Tuzhilin, Michele Gorgoglione, Cosimo Palmisano, and Anto Pedone. Experimental comparison of pre- vs. post-filtering approaches in context-aware recommender systems. ACM Conference On Recommender Systems, pages 265-268, 2009.
15. Moon-Hee Park, Jin-Hyuk Hong, and Sung-Bae Cho. Ubiquitous Intelligence and Computing, volume 4611 of Lecture Notes in Computer Science. Springer Berlin Heidelberg, Berlin, Heidelberg, 2007.
16. Benjamin Proß, Johannes Schöning, and Antonio Krüger. iPiccer: automatically retrieving and inferring tagged location information from web repositories. ACM International Conference Proceeding Series, pages 1-2, 2009.
17. Linda; Shapiro and George Stockman. Query types: Query by example: Using a example image to define what to search for. Computer Vision. Upper Saddle River, NJ: Prentice Hall., New York, 2001.
18. C. T. Shen, J. C. Liu, S. W. Shih, and J. S. Hong. Towards intelligent photo composition-automatic detection of unintentional dissection lines in environmental portrait photos. Expert Systems with Applications: An International Journal, 36(5):9024-9030, 2009.
19. Arnold W. M. Smeulders, Marcel Worring, Simone Santini, Amarnath Gupta, and Ramesh Jain. Content-based image retrieval at the end of the early years. IEEE Trans. Pattern Anal. Mach. Intell., 22:1349-1380, December 2000. (Pubitemid 32088465)
20. Mark van Setten, Stanislav Pokraev, and Johan Koolwaaij. Context-Aware Recommendations in the Mobile Tourist Application COMPASS. In Adaptive Hypermedia and Adaptive Web-Based Systems, volume 3137, pages 515-548. Springer Berlin / Heidelberg, 2004.
21. Luis von Ahn. Human computation. In Computing Research that Changed the World: Reflections and Perspectives, CRASS '09, pages 4:1-4:23, Washington, D.C., 2009. Computing Research Association.
22. Ghim-Eng Yap, Ah-Hwee Tan, and Hwee-Hwa Pang. Dynamically-optimized context in recommender systems. In Proceedings of the 6th international conference on Mobile data management, MDM '05, pages 265-272, New York, NY, USA, 2005. ACM.
23. Lu Yuan, Jian Sun, Long Quan, and Heung-Yeung Shum. Image deblurring with blurred/noisy image pairs. ACM Trans. Graph., 26, July 2007.
24. Richard S Zakia. Perception and Imaging. Focal Press, 1997.