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

Published: 13 February 2011 Publication History

Abstract

The digital camera revolution has changed the world of photography and now most people have access to, and even regularly carry, a digital camera. Often these cameras have been designed with simplicity in mind: they harness a variety of sophisticated technologies in order to automatically take care of all manner of complex settings (aperture, shutter speed, flash etc.) for point-and-shoot ease, these assistive features are usually incorporated directly into the cameras interface. However, there is little or no support for the end-user when it comes to helping them to compose or frame a scene. To this end we describe a novel recommendation process which uses a variety of intelligent and assistive interfaces to guide the user in taking relevant compositions given their current location and scene context. This application has been implemented on the Android platform and we describe its core user interaction, recommendation technologies and demonstrate its effectiveness in a number of real-world scenarios. Specifically we report on the results of a live-user trial of the technology in a real-world tourist setting.

References

[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.
[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.
[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.
[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.
[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.

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cover image ACM Conferences
IUI '11: Proceedings of the 16th international conference on Intelligent user interfaces
February 2011
504 pages
ISBN:9781450304191
DOI:10.1145/1943403
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 13 February 2011

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Author Tags

  1. camera
  2. composition
  3. interface
  4. mobile
  5. photography
  6. recommender system
  7. social
  8. social camera
  9. user interaction

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IUI '11
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Overall Acceptance Rate 746 of 2,811 submissions, 27%

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  • (2020)Recommender Systems Leveraging Multimedia ContentACM Computing Surveys10.1145/340719053:5(1-38)Online publication date: 28-Sep-2020
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