On-demand sharing of a high-resolution panorama video from networked robotic cameras Conference Paper uri icon

abstract

  • Due to their flexibility in coverage and resolution, networked robotic cameras become more and more popular in applications such as natural observation, security surveillance, and distance learning. Equipped with a high optical zoom lens, a networked robotic camera can generate a giga-pixel-level panorama to cover its viewable region. As new live frames enter the system, this panorama can be updated as a panorama video. User requests are usually not limited to the current camera frame. A user may request a specific region associated with a specific time window. To satisfy different spatiotemporal requests for multiple concurrent users, we present systems and algorithms to allow the on-demand sharing of the high-resolution panorama video. The high-resolution panorama video is encoded into a patch-based representation to allow efficient storage and on-demand content delivery. We present system architecture, user interface, data representation, and encoding/decoding algorithms. In the experiment, we have implemented the system using the MPEG-2 codec. Experimental results show that our system can not only satisfy different spatiotemporal queries but also significantly reduce computation time and communication bandwidth requirement. ©2007 IEEE.

name of conference

  • 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems

published proceedings

  • 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems

author list (cited authors)

  • Qin, N. i., & Song, D

citation count

  • 3

complete list of authors

  • Qin, Ni||Song, Dezhen

publication date

  • October 2007

publisher