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Omni-face detection for video/image content description

Authors:

Ishwar K. SethiAuthors Info & Claims

MULTIMEDIA '00: Proceedings of the 2000 ACM workshops on Multimedia

Pages 185 - 189

https://doi.org/10.1145/357744.357930

Published: 04 November 2000 Publication History

Abstract

An omni-face detection scheme for image/video content description is proposed in this paper. It provides the ability to extract high-level features in terms of human activities rather than low-level features like color, texture and shape. The system relies on an omni-face detection system capable of locating human faces over a broad range of views in color images or videos with complex scenes. It uses the presence of skin-tone pixels coupled with shape, edge pattern and face-specific features to locate faces. The main distinguishing contribution of this work is being able to detect faces irrespective of their poses, including frontal-view and side-view, whereas contemporary systems deal with frontal-view faces only. The other novel aspects of the work lie in its iterative candidate filtering to segment objects from extraneous region, the use of Hausdorff distance-based normalized similarity measure to identify side-view facial profiles, and the exploration of hidden Markov model (HMM) to verify the presence of a side-view face. Image and video can be assigned with semantic descriptors based on human face information for later indexing and retrieval.

References

[1]

T.J. Cham and R. Cipolla (1999). Automated B-spline Curve Representation Incorporating MDL and Errro-Minimizing Control Point Insertion Strategies. IEEE Trans. Pattern Anal. Mach. Intell. Vol. 21

Digital Library

[2]

Rama Chellappa R. Chellappa, C.L. Wilson, S. Sirohey (1995). Human and machine recognition of faces: A Survey. Proceedings of the IEEE, VOL. 83, No. 5, p705-740

[3]

Ying Dai and Yasuaki Nakano, "Face-texture model based on SGLD and its application in face detection in a color scene", Pattern Recognition, Vol. 29, No. 6, pp. 1007-1017, 1996.

[4]

P.E. Danielsson (1980). Euclidean Distance mapping. Computer Graphics and Image Processing

[5]

D.P. Huttenlocher, G.A. Klanderman and W.J. Rucklidge. Comparing Images Using the Hausdorff Distance. IEEE Trans. Pattern Anal. Mach. Intell. Vol. 15, p850-863, 1993

Digital Library

[6]

S-H. Jeng, H.Y.M. Liao, C.C. Han, M.Y.Chen and Y.T. Liu, "Facial feature detection using geometrical face model: an efficient approach", Pattern Recognition, Vol. 31, No. 3, pp. 273-282, 1998.

[7]

M. Kapfer and J. Benois-Pineau, "Detection of human faces in color image sequences with arbitrary motions for very low bit-rate videophone coding", Pattern Recognition Letters, Vol. 18, pp. 1503-1518, 1997.

[8]

T.K. Leung, M.C. Burl and P.Perona, "Finding faces in cluttered scenes using random labeled graph matching", Proceedings Fifth Intl. Conference on Computer Vision, pp. 637-644, Cambridge, MA, June 1995.

Digital Library

[9]

G. Medioni and Y. Yasumoto (1987). Comer Detection and Curve Representation Using Cubic B-Spline. Computer Vision, Graphics and Image Processing, 39, pp267-278

Digital Library

[10]

B. Moghaddam and A. Pentland, "A subspace method for maximum likelihood target detection", Proceedings IEEE International Conference on Image Processing, Washington DC, October 1995.

Digital Library

[11]

L.R. Rabiner and B.H.Juang. An introduction to Hidden Mardov Models. 1EEEASSP Magazine. pp4-15, Jan. 1986

[12]

H. A. Rowley, S. Baluja and T. Kanade, "Neural networkbased face detection", IEEE Trans. Pattern Anal. Mach. Intell., Vol. 20, No. 1, p23-37, 1998.

Digital Library

[13]

Y. Rui, T.S. Huang and S.F. Chang, "Image Retrieval: Current Techniques, Promising Directions, and Open Issues", J. of Visual Communication and Image Representation 10, pp39-62, 1999

Digital Library

[14]

Eli Saber and A. Murat Tekalp, "Frontal-view face detection and facial feature extraction using color, shape and symmetry based cost functions", Pattern Recognition Letters, Vol. 19, No. 8, pp. 669-680, 1998.

Digital Library

[15]

S. Sakar, I.K. Sethi and G. Bochenick, "A Survey of Alermess Monitoring for Drivers", Intelligent Engineering Systems Through Artificial Neural Networks, Vol. 9, 1999

[16]

S. Satoh, Y. Nakamura and T. Kanade, "Name-It: Naming and Detection Faces in News Videos", IEEE Multimedia, January-March 1999, pp. 22-35

Digital Library

[17]

K-K. Sung and T. Poggio, "Example-based learning for view-based human face detection", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20, No. 1, pp. 39-50, 1998.

Digital Library

[18]

A. Tankus, Y. Yeshurun and N. Intrator, "Face detection by convexity estimation", Pattern Recognition Letters, Vol. 18, pp. 913-922, 1997.

[19]

G. Wei, L. Agnihotri and N. Dimitrova, 'q'V Program Classification based on Face and Text Processing", accepted by IEEE International Conference on Multimedia and Expro, July 2000, New York City

[20]

G. Wei and I.K. Sethi, "Face Detection for Image Annotation", Pattem Recognition Letters, Vol. 20, pp1313- 1321, 1999

Digital Library

[21]

G.Z. Yang and T.S. Huang, "Human face detection in a complex background", Pattern Recognition, Vol. 27, No. I, pp. 53-63, 1994.

[22]

K.C. Yow and R. Cipolla, "Feature-based human face detection", Image and Vision Computing, Vol. 15, pp. 713- 735, 1997.

[23]

Y. J. Zhang, Y.R.Yao and Y. He, "Automatic face segmentation using color cues for coding typical videophone scenes", SPIE Vol. 3024, pp. 468-479, 1997.

Cited By

Naji SJalab HKareem S(2019)A survey on skin detection in colored imagesArtificial Intelligence Review10.1007/s10462-018-9664-952:2(1041-1087)Online publication date: 1-Aug-2019
https://dl.acm.org/doi/10.1007/s10462-018-9664-9
Zhang XLyu M(2011)Accurate extraction of human faces and their components from color digital images based on a hierarchical model2011 4th International Congress on Image and Signal Processing10.1109/CISP.2011.6100492(1165-1174)Online publication date: Oct-2011
https://doi.org/10.1109/CISP.2011.6100492
Cotsaces CNikolaidis NPitas I(2008)Face-Based Digital Signatures for Video RetrievalIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2008.91845818:4(549-553)Online publication date: 1-Apr-2008
https://dl.acm.org/doi/10.1109/TCSVT.2008.918458
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Index Terms

Omni-face detection for video/image content description
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Image segmentation
        Video segmentation
  2. Machine learning
    1. Machine learning algorithms
      1. Feature selection
2. Information systems
  1. Information retrieval
    1. Retrieval models and ranking
  2. Information systems applications
    1. Multimedia information systems
      1. Multimedia databases

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Published In

cover image ACM Conferences

MULTIMEDIA '00: Proceedings of the 2000 ACM workshops on Multimedia

November 2000

248 pages

ISBN:1581133111

DOI:10.1145/357744

Chairmen:
Shahram Ghandeharizadeh
Univ. of Southern California
,
Shih-Fu Chang
Columbia Univ., New York, NY
,
Stephen Fischer
GMD-IPSI, Germany
,
Joseph Konstan
Univ. of Minnesota
,
Klara Nahrstedt
Univ. of Illinois, Urbana-Champaign

Copyright © 2000 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 04 November 2000

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MM00: ACM Multimedia 2000

October 30 - November 3, 2000

California, Los Angeles, USA

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Overall Acceptance Rate 995 of 4,171 submissions, 24%

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Cited By

Naji SJalab HKareem S(2019)A survey on skin detection in colored imagesArtificial Intelligence Review10.1007/s10462-018-9664-952:2(1041-1087)Online publication date: 1-Aug-2019
https://dl.acm.org/doi/10.1007/s10462-018-9664-9
Zhang XLyu M(2011)Accurate extraction of human faces and their components from color digital images based on a hierarchical model2011 4th International Congress on Image and Signal Processing10.1109/CISP.2011.6100492(1165-1174)Online publication date: Oct-2011
https://doi.org/10.1109/CISP.2011.6100492
Cotsaces CNikolaidis NPitas I(2008)Face-Based Digital Signatures for Video RetrievalIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2008.91845818:4(549-553)Online publication date: 1-Apr-2008
https://dl.acm.org/doi/10.1109/TCSVT.2008.918458
Baek KChang YKim DKim YLee BChung HHan YHahn H(2007)Face region detection using DCT and homomorphic filterProceedings of the 6th WSEAS International Conference on Signal Processing, Robotics and Automation10.5555/1355681.1355683(7-12)Online publication date: 16-Feb-2007
https://dl.acm.org/doi/10.5555/1355681.1355683
Baek KChang YKim DKim YLee BChung HHan YHahn H(2007)Face region detection using DCT and homomorphic filterProceedings of the 6th WSEAS International Conference on Signal Processing, Robotics and Automation10.5555/1353685.1353687(7-12)Online publication date: 16-Feb-2007
https://dl.acm.org/doi/10.5555/1353685.1353687
Cotsaces CNikolaidis NPitas I(2006)Video Indexing by Face Occurrence-Based Signatures2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings10.1109/ICASSP.2006.1660298(II-137-II-140)Online publication date: 2006
https://doi.org/10.1109/ICASSP.2006.1660298
Liu YChit W(2006)Interactive multimedia system for distance learning of higher educationProceedings of the First international conference on Technologies for E-Learning and Digital Entertainment10.1007/11736639_38(291-300)Online publication date: 16-Apr-2006
https://dl.acm.org/doi/10.1007/11736639_38
Dimitrova NJanevski ALi DZimmerman JSundaram HPingali GNack F(2003)Who's that actor?Proceedings of the 2003 ACM SIGMM workshop on Experiential telepresence10.1145/982484.982499(76-79)Online publication date: 7-Nov-2003
https://dl.acm.org/doi/10.1145/982484.982499
Li DDimitrova NLi MSethi IRowe LVin HPlagemann TShenoy PSmith J(2003)Multimedia content processing through cross-modal associationProceedings of the eleventh ACM international conference on Multimedia10.1145/957013.957143(604-611)Online publication date: 2-Nov-2003
https://dl.acm.org/doi/10.1145/957013.957143
Duan LYu XTian QSun Q(2003)Face pose analysis from mpeg compressed video for surveillance applicationsInternational Conference on Information Technology: Research and Education, 2003. Proceedings. ITRE2003.10.1109/ITRE.2003.1270679(549-553)Online publication date: 2003
https://doi.org/10.1109/ITRE.2003.1270679
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