Region-of-interest scrambling for scalable surveillance video using JPEG XR

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Region-of-interest scrambling for scalable surveillance video using JPEG XR

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International Multimedia Conference archive
Proceedings of the seventeen ACM international conference on Multimedia table of contents

Beijing, China

SESSION: Short papers session 3: applications and systems table of contents

Pages 861-864

Year of Publication: 2009

ISBN:978-1-60558-608-3

Authors

Hosik Sohn	Korea Advanced Institute of Science and Technology (KAIST), Deajeon, South Korea
Wesley De Neve	Korea Advanced Institute of Science and Technology (KAIST), Deajeon, South Korea
Yongman Ro	Korea Advanced Institute of Science and Technology (KAIST), Deajeon, South Korea

Sponsor

SIGMULTIMEDIA: ACM Special Interest Group on Multimedia

Publisher

ACM New York, NY, USA

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ABSTRACT

Present-day video surveillance systems are often required not to intrude upon the privacy of the general public. In this paper, we discuss a privacy-protected video surveillance system that makes use of the JPEG XR standard. This standard offers a low-complexity solution for the scalable coding of high-resolution images. To address privacy concerns, face regions are detected and subsequently scrambled in the transform domain, taking into account the spatial and quality scalability features of JPEG XR. A number of experiments were conducted in order to investigate the efficiency of our video surveillance system, considering bit stream overhead and security aspects.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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