An online face recognition system using multiple compressed images over the Internet

Hwangjun Song; Sun Jae Chung; Young Ho Park

doi:10.1007/11581062_49

An online face recognition system using multiple compressed images over the Internet

Hwangjun Song
, Sun Jae Chung
, Young Ho Park

School of Electronics Engineering

Pohang University of Science and Technology
Hongik University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

In this work, we propose an effective online face recognition system over the error-prone Internet. The proposed system uses multiple JPEG-compressed images to improve the recognition rate, and image compression and resizing to reduce the transmission delay and the processing delay. Further-more, the robustness is improved by effective packetization of compressed image data. First of all, we examine the face recognition rate in terms of quantization parameter and image size, and then implement the effective multiple-image-based face recognition system. Finally, experimental results are provided to show the performance comparison with existing algorithms over the error-prone Internet environment.

Original language	English
Title of host publication	Web Information Systems Engineering, WISE 2005 - 6th International Conference on Web Information Systems Engineering, Proceedings
Pages	569-576
Number of pages	8
DOIs	https://doi.org/10.1007/11581062_49
State	Published - 2005
Event	6th International Conference on Web Information Systems Engineering, WISE 2005 - New York, NY, United States Duration: 20 Nov 2005 → 22 Nov 2005

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3806 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th International Conference on Web Information Systems Engineering, WISE 2005
Country/Territory	United States
City	New York, NY
Period	20/11/05 → 22/11/05

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10.1007/11581062_49

Cite this

Song, H., Chung, S. J., & Park, Y. H. (2005). An online face recognition system using multiple compressed images over the Internet. In Web Information Systems Engineering, WISE 2005 - 6th International Conference on Web Information Systems Engineering, Proceedings (pp. 569-576). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3806 LNCS). https://doi.org/10.1007/11581062_49

Song, Hwangjun ; Chung, Sun Jae ; Park, Young Ho. / An online face recognition system using multiple compressed images over the Internet. Web Information Systems Engineering, WISE 2005 - 6th International Conference on Web Information Systems Engineering, Proceedings. 2005. pp. 569-576 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{b28ff58bc33c493aaf5ee7d9236b5107,

title = "An online face recognition system using multiple compressed images over the Internet",

abstract = "In this work, we propose an effective online face recognition system over the error-prone Internet. The proposed system uses multiple JPEG-compressed images to improve the recognition rate, and image compression and resizing to reduce the transmission delay and the processing delay. Further-more, the robustness is improved by effective packetization of compressed image data. First of all, we examine the face recognition rate in terms of quantization parameter and image size, and then implement the effective multiple-image-based face recognition system. Finally, experimental results are provided to show the performance comparison with existing algorithms over the error-prone Internet environment.",

author = "Hwangjun Song and Chung, \{Sun Jae\} and Park, \{Young Ho\}",

year = "2005",

doi = "10.1007/11581062\_49",

language = "English",

isbn = "3540300171",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "569--576",

booktitle = "Web Information Systems Engineering, WISE 2005 - 6th International Conference on Web Information Systems Engineering, Proceedings",

note = "6th International Conference on Web Information Systems Engineering, WISE 2005 ; Conference date: 20-11-2005 Through 22-11-2005",

}

Song, H, Chung, SJ & Park, YH 2005, An online face recognition system using multiple compressed images over the Internet. in Web Information Systems Engineering, WISE 2005 - 6th International Conference on Web Information Systems Engineering, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3806 LNCS, pp. 569-576, 6th International Conference on Web Information Systems Engineering, WISE 2005, New York, NY, United States, 20/11/05. https://doi.org/10.1007/11581062_49

An online face recognition system using multiple compressed images over the Internet. / Song, Hwangjun; Chung, Sun Jae; Park, Young Ho.
Web Information Systems Engineering, WISE 2005 - 6th International Conference on Web Information Systems Engineering, Proceedings. 2005. p. 569-576 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3806 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - In this work, we propose an effective online face recognition system over the error-prone Internet. The proposed system uses multiple JPEG-compressed images to improve the recognition rate, and image compression and resizing to reduce the transmission delay and the processing delay. Further-more, the robustness is improved by effective packetization of compressed image data. First of all, we examine the face recognition rate in terms of quantization parameter and image size, and then implement the effective multiple-image-based face recognition system. Finally, experimental results are provided to show the performance comparison with existing algorithms over the error-prone Internet environment.

AB - In this work, we propose an effective online face recognition system over the error-prone Internet. The proposed system uses multiple JPEG-compressed images to improve the recognition rate, and image compression and resizing to reduce the transmission delay and the processing delay. Further-more, the robustness is improved by effective packetization of compressed image data. First of all, we examine the face recognition rate in terms of quantization parameter and image size, and then implement the effective multiple-image-based face recognition system. Finally, experimental results are provided to show the performance comparison with existing algorithms over the error-prone Internet environment.

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DO - 10.1007/11581062_49

M3 - Conference contribution

AN - SCOPUS:33744824908

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SN - 9783540300175

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Song H, Chung SJ, Park YH. An online face recognition system using multiple compressed images over the Internet. In Web Information Systems Engineering, WISE 2005 - 6th International Conference on Web Information Systems Engineering, Proceedings. 2005. p. 569-576. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11581062_49

An online face recognition system using multiple compressed images over the Internet

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