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.
Available under License : See the attached licence file.
Official URL: http://dx.doi.org/10.1109/ICIINFS.2011.6038044
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 (Paper)|
|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.|
|Divisions:||Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing|
|Deposited By:||Symplectic Elements|
|Deposited On:||11 May 2012 14:28|
|Last Modified:||16 Feb 2013 16:34|
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