Face indexing and searching from videos

Jiangwei Li; Yunhong Wang

doi:10.1109/ICIP.2008.4712159

Face indexing and searching from videos

Jiangwei Li^*
, Yunhong Wang

^*Corresponding author for this work

School of Computer Science and Engineering

Beihang University

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

3 Scopus citations

Abstract

Face indexing and searching from videos can be widely used in multimedia applications, information mining and biometric recognition. This paper presents a novel method for effective indexing and searching in videos. Differing from traditional methods, we sequentially integrate visual appearance with temporal continuity and position continuity for face comparison. Subgroups are so formed. Then, exemplars attached corresponding weights are selected from subgroups to form signatures. Lastly, subgroups are incorporated into groups with Earth Mover's Distance for hierarchical indexing and searching purposes. Experiments on some videos have demonstrated that the algorithm can achieve satisfying performance by full exploiting visual and timing information in videos.

Original language	English
Title of host publication	2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings
Pages	1932-1935
Number of pages	4
DOIs	https://doi.org/10.1109/ICIP.2008.4712159
State	Published - 2008
Event	2008 IEEE International Conference on Image Processing, ICIP 2008 - San Diego, CA, United States Duration: 12 Oct 2008 → 15 Oct 2008

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
ISSN (Print)	1522-4880

Conference

Conference	2008 IEEE International Conference on Image Processing, ICIP 2008
Country/Territory	United States
City	San Diego, CA
Period	12/10/08 → 15/10/08

Keywords

Feature extraction
Image pattern recognition
Video signal processing

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10.1109/ICIP.2008.4712159

Cite this

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title = "Face indexing and searching from videos",

abstract = "Face indexing and searching from videos can be widely used in multimedia applications, information mining and biometric recognition. This paper presents a novel method for effective indexing and searching in videos. Differing from traditional methods, we sequentially integrate visual appearance with temporal continuity and position continuity for face comparison. Subgroups are so formed. Then, exemplars attached corresponding weights are selected from subgroups to form signatures. Lastly, subgroups are incorporated into groups with Earth Mover's Distance for hierarchical indexing and searching purposes. Experiments on some videos have demonstrated that the algorithm can achieve satisfying performance by full exploiting visual and timing information in videos.",

keywords = "Feature extraction, Image pattern recognition, Video signal processing",

author = "Jiangwei Li and Yunhong Wang",

year = "2008",

doi = "10.1109/ICIP.2008.4712159",

language = "英语",

isbn = "1424417643",

series = "Proceedings - International Conference on Image Processing, ICIP",

pages = "1932--1935",

booktitle = "2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings",

note = "2008 IEEE International Conference on Image Processing, ICIP 2008 ; Conference date: 12-10-2008 Through 15-10-2008",

}

Li, J & Wang, Y 2008, Face indexing and searching from videos. in 2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings., 4712159, Proceedings - International Conference on Image Processing, ICIP, pp. 1932-1935, 2008 IEEE International Conference on Image Processing, ICIP 2008, San Diego, CA, United States, 12/10/08. https://doi.org/10.1109/ICIP.2008.4712159

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AU - Wang, Yunhong

PY - 2008

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N2 - Face indexing and searching from videos can be widely used in multimedia applications, information mining and biometric recognition. This paper presents a novel method for effective indexing and searching in videos. Differing from traditional methods, we sequentially integrate visual appearance with temporal continuity and position continuity for face comparison. Subgroups are so formed. Then, exemplars attached corresponding weights are selected from subgroups to form signatures. Lastly, subgroups are incorporated into groups with Earth Mover's Distance for hierarchical indexing and searching purposes. Experiments on some videos have demonstrated that the algorithm can achieve satisfying performance by full exploiting visual and timing information in videos.

AB - Face indexing and searching from videos can be widely used in multimedia applications, information mining and biometric recognition. This paper presents a novel method for effective indexing and searching in videos. Differing from traditional methods, we sequentially integrate visual appearance with temporal continuity and position continuity for face comparison. Subgroups are so formed. Then, exemplars attached corresponding weights are selected from subgroups to form signatures. Lastly, subgroups are incorporated into groups with Earth Mover's Distance for hierarchical indexing and searching purposes. Experiments on some videos have demonstrated that the algorithm can achieve satisfying performance by full exploiting visual and timing information in videos.

KW - Feature extraction

KW - Image pattern recognition

KW - Video signal processing

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U2 - 10.1109/ICIP.2008.4712159

DO - 10.1109/ICIP.2008.4712159

M3 - 会议稿件

AN - SCOPUS:69949187139

SN - 1424417643

SN - 9781424417643

T3 - Proceedings - International Conference on Image Processing, ICIP

SP - 1932

EP - 1935

BT - 2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings

T2 - 2008 IEEE International Conference on Image Processing, ICIP 2008

Y2 - 12 October 2008 through 15 October 2008

ER -

Face indexing and searching from videos

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