A real-time, embedded face-annotation system

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A real-time, embedded face-annotation system

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International Multimedia Conference archive
Proceeding of the 16th ACM international conference on Multimedia table of contents

Vancouver, British Columbia, Canada

DEMONSTRATION SESSION: Demo session 1 table of contents

Pages: 989-990

Year of Publication: 2008

ISBN:978-1-60558-303-7

Authors

Shih-Wei Chu	University of California, Santa Barbara, Santa Barbara, CA, USA
Mei-Chen Yeh	University of California, Santa Barbara, Santa Barbara, CA, USA
Kwang-Ting Cheng	University of California, Santa Barbara, Santa Barbara, CA, USA

Sponsors

ACM: Association for Computing Machinery
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia

Publisher

ACM New York, NY, USA

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ABSTRACT

Face detection and recognition have numerous multimedia applications of broad interest, one of which is automatic face annotation. There exist many robust algorithms tackling these problems but most of these algorithms are computationally demanding and have only been implemented in PC- or server-based environments. In this demonstration we show a real-time face-annotation system on a commercial PDA development platform. We examine the challenges faced in the design and development of a practical system that can achieve detection and recognition in real-time using limited memory and computational resources which are common constraints for embedded applications.

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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