EVOLVING ROI CODING IN H.264 SVC

Syeda Shamikha F. Shah, Eran A. Edirisinge

Abstract

Region-of-Interest (ROI) based coding is an integral feature of most image/video coding techniques/standards and has im-portant applications in content based video coding, storage and transmission. However, in the latest scalable extension of H.264 AVC video coding standard, i.e. H.264 SVC, motion estimation across the slice group boundaries does not preserve the coding quality and compression rate of the ROI. In this paper novel enhancements to the ROI based coding for H.264 SVC have been proposed to constrain the inter frame prediction across slice group boundaries. We show that the proposed algorithms do not negatively affect the rate-distortion performance of the coded video, but provide useful additional functionality that enables the extended use of the standard in many new application domains. Further, we pro-pose a method for supporting the coding of moving ROI in the scalable video coding domain, by adaptively changing the shape, size and position of the slice groups. We show that this additional functionality is particularly useful in video surveil-lance applications to effectively compress and transmit the ROI and reduce the storage and transmission requirements without any quality degradation of the ROI.

References

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Paper Citation


in Harvard Style

Shamikha F. Shah S. and A. Edirisinge E. (2008). EVOLVING ROI CODING IN H.264 SVC . In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 13-19. DOI: 10.5220/0001085200130019


in Bibtex Style

@conference{visapp08,
author={Syeda Shamikha F. Shah and Eran A. Edirisinge},
title={EVOLVING ROI CODING IN H.264 SVC},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={13-19},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001085200130019},
isbn={978-989-8111-21-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - EVOLVING ROI CODING IN H.264 SVC
SN - 978-989-8111-21-0
AU - Shamikha F. Shah S.
AU - A. Edirisinge E.
PY - 2008
SP - 13
EP - 19
DO - 10.5220/0001085200130019