Phone-to-phone communication for adaptive image classification

ABSTRACT

In this paper, we present a novel technique for adapting local image classifiers that are applied for object recognition on mobile phones through ad-hoc network communication between the devices. By continuously accumulating and exchanging collected user feedback among mobile phones that are located within signal range, we show that our approach improves the overall classification rate and adapts to dynamic changes quickly. This technique is applied in the context of PhoneGuide -- an adaptive museum guidance system.

REFERENCES

• 1: Institute for museum research. Statistische Gesamterhebung an den Museen der Bundesrepublik Deutschland für das Jahr 2006, 2006.
• 2: Lauri Aalto , Nicklas Göthlin , Jani Korhonen , Timo Ojala, Bluetooth and WAP push based location-aware mobile advertising system, Proceedings of the 2nd international conference on Mobile systems, applications, and services, June 06-09, 2004, Boston, MA, USA [doi>10.1145/990064.990073]
• 3: Erich Bruns , Oliver Bimber, Adaptive training of video sets for image recognition on mobile phones, Personal and Ubiquitous Computing, v.13 n.2, p.165-178, February 2009 [doi>10.1007/s00779-008-0194-3]
• 4: Erich Bruns , Benjamin Brombach , Oliver Bimber, Mobile Phone-Enabled Museum Guidance with Adaptive Classification, IEEE Computer Graphics and Applications, v.28 n.4, p.98-102, July 2008 [doi>10.1109/MCG.2008.77]
• 5: Erich Bruns , Benjamnin Brombach , Thomas Zeidler , Oliver Bimber, Enabling Mobile Phones To Support Large-Scale Museum Guidance, IEEE MultiMedia, v.14 n.2, p.16-25, April 2007 [doi>10.1109/MMUL.2007.33]
• 6: W. C. Chen, Y. Xiong, J. Gao, N. Gefand, and R. Grzeszczuk. Efficient extraction of robust image features on mobile phones. In ISMAR, 2007.
• 7: Gerald Fritz , Christin Seifert , Lucas Paletta, A Mobile Vision System for Urban Detection with Informative Local Descriptors, Proceedings of the Fourth IEEE International Conference on Computer Vision Systems, p.30, January 04-07, 2006 [doi>10.1109/ICVS.2006.5]
• 8: Sewook Jung , Uichin Lee , Alexander Chang , Dae-Ki Cho , Mario Gerla, BlueTorrent: Cooperative content sharing for Bluetooth users, Pervasive and Mobile Computing, v.3 n.6, p.609-634, December, 2007 [doi>10.1016/j.pmcj.2007.06.003]
• 9: Ping Luo , Hui Xiong , Kevin Lü , Zhongzhi Shi, Distributed classification in peer-to-peer networks, Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining, August 12-15, 2007, San Jose, California, USA [doi>10.1145/1281192.1281296]
• 10: Tamer Nadeem , Sasan Dashtinezhad , Chunyuan Liao , Liviu Iftode, TrafficView: traffic data dissemination using car-to-car communication, ACM SIGMOBILE Mobile Computing and Communications Review, v.8 n.3, July 2004 [doi>10.1145/1031483.1031487]
• 11: S. Siersdorfer and S. Sizov. Automatic document organization in a p2p environment. In ECIR, pages 265--276, 2006.

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.4 IMAGE PROCESSING AND COMPUTER VISION

Additional Classification:
  C. Computer Systems Organization
  C.2 COMPUTER-COMMUNICATION NETWORKS
      C.2.4 Distributed Systems
          Subjects: Distributed applications
  C.3 SPECIAL-PURPOSE AND APPLICATION-BASED SYSTEMS

General Terms:
Algorithms, Experimentation, Human Factors

Keywords:
mobile computing, museum guidance application, phone-to-phone communication, real-time adaptation