Skip to main content

Citywatcher: Annotating and Searching Video Data Streams for Smart Cities Applications

  • Conference paper
Internet of Things, Smart Spaces, and Next Generation Networks and Systems (NEW2AN 2014)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 8638))

Included in the following conference series:

Abstract

Digital pervasive video cameras can be abundantly found everywhere these days and their numbers grow continuously. Modern cities have large networks of surveillance cameras including CCTV, street crossings and the like. Sometimes authorities need a video-recording of some road accident (or of some other event) to understand what happened and identify a driver who may have been at fault. In this paper we discuss the challenges of annotating and retrieving video data streams from vehicle-mounted surveillance cameras. We also propose and evaluate the CityWatcher application – an Android application for recording video streams, annotating them with location, timestamp and additional context in order to make them discoverable and available to authorized Internet of Things applications

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Caragliu, A., Del Bo, C., Nijkamp, P.: Smart Cities in Europe. In: Proceedings of the 3rd Central European Conference on Regional Science, Košice (2009)

    Google Scholar 

  2. Hu, M., Li, C.: Design Smart City Based on 3S, Internet of Things, Grid Computing and Cloud Computing Technology. In: Wang, Y., Zhang, X. (eds.) IOT Workshop 2012. CCIS, vol. 312, pp. 466–472. Springer, Heidelberg (2012)

    Google Scholar 

  3. Smart city, http://en.wikipedia.org/wiki/Smart_city (accessed: April 18, 2014)

  4. Giffinger, R., Fertner, C., Kramar, H., Kalasek, R., Pichler-Milanovic, N., Meijers, E.: Smart cities – Ranking of European medium-sized cities. Smart Cities. Centre of Regional Science, Vienna (2007)

    Google Scholar 

  5. Intelligent transportation system, http://en.wikipedia.org/wiki/Intelligent_transportation_system (accessed: April 24, 2014)

  6. Ki, Y.-K., Lee, D.-Y.: A Traffic Accident Recording and Reporting Model at Intersections. IEEE Transactions on Intelligent Transportation Sytems 8(2) (June 2017 )

    Google Scholar 

  7. Chae, K., Kim, D., Jung, S., Choi, J., Jung, S.: Evidence Collecting System from Car Black Boxes. School of Electronic Engineering Soongsil University Seoul, Korea

    Google Scholar 

  8. Huang, T.: Surveillance Video: The Biggest Big Data. Computing Now 7(2) (February 2014), http://www.computer.org/portal/web/computingnow/archive/february2014?lf1=929719755f161316415589b16868896

  9. Schuurman, D., Baccarne, B., De Marez, L., Mechant, P.: Smart Ideas for Smart Cities: Investigating Crowdsourcing for Generating and Selecting Ideas for ICT Innovation in a City Context. Journal of Theoretical and Applied Electronic Commerce Research 7(3), 49–62 (2012)

    Article  Google Scholar 

  10. Georgakopoulos, D., Baker, M., Nodine, A.: Event-Driven Video Aware-ness Providing Physical Security. World Wide Web Journal (WWWJ) 10(1) (March 2007)

    Google Scholar 

  11. Chatzimilioudis, G., Konstantinidis, A., Laoudias, C., Zeinalipour-Yazti, D.: Crowdsourcing with Smartphones. IEEE Internet Computing 16(5), 36–44

    Google Scholar 

  12. Vondrick, C., Patterson, D., Ramanan, D.: Efficiently Scaling up Crowd-sourced Video Annotation. A Set of Best Practices for High Quality, Economical Video Labeling. Springer Scince+Business Media LLC (2012)

    Google Scholar 

  13. Perera, C., Zaslavsky, A., Christen, P.: andD. Georgakopoulos, Context Aware Computing for Internet of Things: A Survey. IEEE Communications Surveys & Tutorials Journal (2013)

    Google Scholar 

  14. OpenIoT Architecture Webpage, https://github.com/OpenIotOrg/openiot/wiki/OpenIoT-Architecture (accessed: April 12, 2014)

  15. OpenIoT Webpage, http://www.openiot.eu (accessed: March 12, 2014)

  16. PodnarZarko, I., Antonic, A., Pripužic, K.: Publish/Subscribe Middleware for Energy-Effcient Mobile Crowdsensing. In: UbiComp 2013 Adjunct Proceedings of the 2013 ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication, pp. 1099–1110 (2013)

    Google Scholar 

  17. What is OpenIoT and what does it can do for you?, http://academics.openiot.eu/ (accessed: April 24, 2014)

  18. Sommer, C., German, R., Dressler, F.: Bidirectionally Coupled Network and Road Traffic Simulation for Improved IVC Analysis. IEEE Transactions on Mobile Computing 10(1), 3–15 (2011)

    Article  Google Scholar 

  19. Arellano, W., Raton, B., Mahgoub, I.: TrafficModeler extensions: A case for rapid VANET simulation using, OMNET++, SUMO, and VEINS. In: 2013 10th International Conference on High Capacity Optical Networks and Enabling Technologies (HONET-CNS), pp. 109–115 (2013)

    Google Scholar 

  20. Buch, N., Kristl, V.S.A., Orwell, J.: A Review of Computer Vision Techniques for the Analysis of Urban Traffic. IEEE Transactions on Intelligent Transportation Systems 12(3)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Medvedev, A., Zaslavsky, A., Grudinin, V., Khoruzhnikov, S. (2014). Citywatcher: Annotating and Searching Video Data Streams for Smart Cities Applications. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN 2014. Lecture Notes in Computer Science, vol 8638. Springer, Cham. https://doi.org/10.1007/978-3-319-10353-2_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-10353-2_13

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10352-5

  • Online ISBN: 978-3-319-10353-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics