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abstract

TouchPaper: making print interactive

Published: 29 October 2012 Publication History

Abstract

Traditional printed materials such as photobooks and collages are static in that the information conveyed is unchanging and limited to what was printed. In this paper, we describe an online service for augmenting prints with rich media by using image recognition. A print can have multiple hotspots with each one linking to different content on the web (e.g. Facebook, Youtube video, animations, etc.). When a print is viewed through a mobile device, it is automatically recognized and the interactive hot regions are highlighted on the screen. The user can click regions of interest to link to relevant content on the web. This technology significantly enhances the potential for personalization and interaction and ultimately the end user experience and the value of the prints. As an example application, we leverage our Facebook auto-photobook application to automatically create interactive links for each photo in a page. The user can easily view additional content such as photo comments for each photo through the augmentation mechanism.

References

[1]
Christian Wengert, Tobias Jaeggli, Philippe Messmer, Till Quack, Peter Cech, Cristi Prodan, Tomas Carnecky, Franco Sebregondi, David Wisti: Kooaba interactive posters. ACM Multimedia 2011: 755--756
[2]
H. Bay et al., "SURF: Speeded Up Robust Features", Computer Vision and Image Understanding (CVIU), 110(3): 346--359, 2008.
[3]
Junfeng He, Tai-Hsu Lin, Jinyuan Feng, Shih-Fu Chang: Mobile product search with bag of hash bits. ACM Multimedia 2011: 839--840
[4]
Berna Erol, Jamey Graham, Emilio R. Antúnez, Jonathan J. Hull: HOTPAPER demonstration: multimedia interaction with paper using mobile phones. ACM Multimedia 2008: 983--984
[5]
Qiong Liu, Chunyuan Liao, Lynn Wilcox, Anthony Dunnigan, Bee Liew: Embedded media marker: linking multimedia to paper. ACM Multimedia 2010: 1503--1504
[6]
Feng Tang, Suk Hwan Lim, Nelson L. Chang, Hai Tao: A novel feature descriptor invariant to complex brightness changes. CVPR 2009: 2631--2638
[7]
J. Sivic and A. Zisserman. Video Google: A text retrieval approach to object matching in videos. In ICCV, 2003.
[8]
http://apps.facebook.com/autophotobook

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Published In

cover image ACM Conferences
MM '12: Proceedings of the 20th ACM international conference on Multimedia
October 2012
1584 pages
ISBN:9781450310895
DOI:10.1145/2393347

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 October 2012

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Author Tags

  1. augmented reality
  2. image recognition
  3. interactive photobook
  4. touchpaper

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MM '12
Sponsor:
MM '12: ACM Multimedia Conference
October 29 - November 2, 2012
Nara, Japan

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Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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