Facilitating Motion-Based Vision Applicatons By Combined Video Analysis And Coding

Rajakaruna, T, Fernando, W and Calic, J (2010) Facilitating Motion-Based Vision Applicatons By Combined Video Analysis And Coding In: ICASSP 2010, 2010-03-14 - 2010-03-17, Dallas, USA.

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Abstract

In order to jointly optimise the quality of video coding on one hand and video analysis on the other, this paper proposes a novel approach to enhance the reusable information content in compressed video domain. By introducing a hierarchical content driven motion estimation mechanism at the encoder, complemented by a statistical prediction of region-of-interest, this approach reduces the complexity and yet increases robustness of the compressed domain vision analysis applications. Taking the object tracking application as an example, we demonstrate that the motion vectors generated by the proposed method can be directly used to extract object information, achieving tracking performance comparable with a pixel domain approach. In addition, we show that the incurred rate distortion (RD) overheads and the effect on encoder complexity are minimal, especially when compared to the reduction of 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 :	Name Email ORCID Rajakaruna, T Fernando, W Calic, J
Date :	March 2010
Identification Number :	10.1109/ICASSP.2010.5495351
Contributors :	Contribution Name Email ORCID http://www.loc.gov/loc.terms/relators/PBL IEEE,
Additional Information :	Copyright 2010 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 13:37
Last Modified :	31 Oct 2017 14:34
URI:	http://epubs.surrey.ac.uk/id/eprint/532146

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