University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Application-aware video coding architecture using camera and object motion-models

Rajakaruna, RMTP, Fernando, WAC and Calic, J (2011) Application-aware video coding architecture using camera and object motion-models In: ICIIS 2011, 2011-08-16 - 2011-08-19, Kandy, Sri Lanka.

ICIIS 2011_1569457355.pdf
Available under License : See the attached licence file.

Download (4MB)
Text (licence)

Download (33kB)


The proliferation of video consumption, especially over mobile devices, has created a demand for efficient interactive video applications and high-level video analysis. This is particularly significant in real-time applications and resource-limited scenarios. Pixel-domain video processing is often inefficient for many of these applications due to its complexity, whereas compressed domain processing offer fast but unreliable results. In order to achieve fast and effective video processing, this paper proposes a novel video encoding architecture that facilitate efficient compressed domain processing, while maintaining compliance with the mainstream coding standards. This is achieved by optimizing the accuracy of motion information embedded in the compressed video, in addition to compression efficiency. In a motion detection application, we demonstrate that the motion estimated by the proposed encoder can be directly used to extract object information, as opposed to conventionally coded video. The incurred rate distortion overheads can be weighed against the reduced processing required for video analysis targeting a wide spectrum of computer vision applications.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
Rajakaruna, RMTP
Fernando, WAC
Calic, J
Date : 2011
DOI : 10.1109/ICIINFS.2011.6038044
Contributors :
Additional Information : Copyright 2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Depositing User : Symplectic Elements
Date Deposited : 11 May 2012 13:28
Last Modified : 31 Oct 2017 14:34

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800