ACM Home Page
Please provide us with feedback. Feedback
Snap and share your photobooks
Full text PdfPdf (16.65 MB)
Source
International Multimedia Conference archive
Proceeding of the 16th ACM international conference on Multimedia table of contents
Vancouver, British Columbia, Canada
SESSION: Applications track A3: photo table of contents
Pages 409-418  
Year of Publication: 2008
ISBN:978-1-60558-303-7
Authors
Niels Henze  OFFIS, Oldenburg, Germany
Susanne Boll  University of Oldenburg, Oldenburg, Germany
Sponsors
ACM: Association for Computing Machinery
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): n/a,   Downloads (12 Months): n/a,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1459359.1459414
What is a DOI?

ABSTRACT

The sharing of photos with others, friends and family, has become even more popular with digital photography and Internet applications such as email or Web albums. At the same time, the physical touch of printed photos is still appreciated and customers use different services to print their photos on post cards, calendars or photobooks, often to give them as a present or to create a physical souvenir. Once printed, however, the sharing of photos with others becomes difficult as there is no link back from the now physical item to its digital counterpart. With Bookmarkr, we developed a system that employs a mobile camera phone to bridge the gap between the printed photo and its digital counterpart. The user takes an image of a photo in a photobook with the mobile phone's camera. The image is transmitted to a photobook server, which employs image analysis techniques to retrieve the corresponding photo. The photo is sent back to the user and establishes the digital-physical match. Bookmarkr allows the user to interact with printed photos in a similar way as interacting with digital photos by using a point-and-shoot metaphor. Our performance evaluation shows that the system is able to return the correct photo in up to 99% of all cases. A conducted user study revealed that the designed interaction is suitable for the participants and their printed photobooks.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
E. Auchard. Flickr to map the world's latest photo hotspots. http://www.reuters.com/article/technologyNews/idUS/HO94233920071119, November 2007.
2
 
3
4
 
5
H. Bay, T. Tuytelaars, and L. V. Gool. Surf: Speeded up robust features. Proceedings of the European Conference on Computer Vision, 1:404--417, 2006.
 
6
 
7
CeWe Color Holding AG. Cewe color holding ag factbook, November 2007.
 
8
CeWe Color Holding AG. Cewe color achieves projected earnings for 2007. Press release, April 2008.
9
10
 
11
B. Erol and J. J. Hull. Linking presentation documents using image analysis. Proceedings of the Conference on Signals, Systems, and Computers, 1, 2003.
12
13
14
 
15
N. Henze, R. Reiners, X. Righetti, E. Rukzio, and S. Boll. Using camera-equipped mobile phones for interacting with real-world objects. Proceedings of the Computer Graphics International Conference, 2008.
 
16
R. Hess. Sift feature detector. http://web.engr.oregonstate.edu/~hess, 2008.
 
17
O. Hilliges, M. Wagner, L. Terrenghi, and A. Butz. The living-room: browsing, organizing and presenting digital image collections in interactive environments. Proceedings of the Conference on Intelligent Environments, pages 552--559, 2007.
18
 
19
Intel Corporation. Open source computer vision library website. http://www.intel.com/technology/computing/opencv, 2008.
 
20
International Organization for Standardization: Information Technology. Automatic identification and data capture techniques - bar code symbology - qr code. ISO/IEC 18004, 2000.
 
21
Y. Ke and R. Sukthankar. PCA-SIFT: A more distinctive representation for local image descriptors. Proceedings of the Conference on Computer Vision and Pattern Recogniton, 2:506--513, 2004.
22
 
23
K. Leichtenstern, A. D. Luca, and E. Rukzio. Analysis of Built-in Mobile Phone Sensors for Supporting Interactions with the Real World. Proceedings of the Pervasive Mobile Interaction Devices workshop, pages 31--34, 2005.
24
 
25
26
 
27
Nokia Corporation. Nokia N95 8GB technical specifications. http://www.forum.nokia.com/devices/N95 8GB, 2008.
 
28
M. Nunes, S. Greenberg, and C. Neustaedter. Sharing digital photographs in the home through physical mementos, souvenirs, and keepsakes. Research Report 2007-875-27, Dept Computer Science, University of Calgary, 2007.
 
29
D. Okabe. Emergent Social Practices, Situations and Relations through Everyday Camera Phone Use. Proceedings of the Conference on Mobile Communication, 2004.
 
30
Photo Marketing Association International. Pma photo book report, 2006.
31
 
32
M. Rohs and B. Gfeller. Using camera-equipped mobile phones for interacting with real-world objects. Proceedings of the Conference on Pervasive Computing (PERVASIV 2004), pages 265--271, 2004.
 
33
M. Rohs, J. Schöning, A. Krüger, and B. Hecht. Towards Real-Time Markerless Tracking of Magic Lenses on Paper Maps. Adjunct Proceedings of the 5th International Conference on Pervasive Computing, pages 69--72, 2007.
 
34
E. Rukzio, G. Broll, K. Leichtenstern, and A. Schmidt. Mobile Interaction with the Real World: An Evaluation and Comparison of Physical Mobile Interaction Techniques. Proceedings of the European Conference on Ambient Intelligence, pages 1--18, 2007.
 
35
K. Tanaka. Mechanisms of visual object recognition: monkey and human studies. Current Opinion in Neurobiology, 7(4):523--529, 1997.
36
 
37
Y. Zhou, X. Fan, X. Xie, Y. Gong, and W.-Y. Ma. Inquiring of the Sights from the Web via Camera Mobiles. Proceedings of the IEEE International Conference on Multimedia and Expo, pages 661--664, 2006.

Collaborative Colleagues:
Niels Henze: colleagues
Susanne Boll: colleagues