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Omni-face detection for video/image content description

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.

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cover image ACM Conferences
MULTIMEDIA '00: Proceedings of the 2000 ACM workshops on Multimedia
November 2000
248 pages
ISBN:1581133111
DOI:10.1145/357744
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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Publication History

Published: 04 November 2000

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Author Tags

  1. content-based retrieval
  2. face detection
  3. image annotation
  4. side-view faces
  5. skin-tone filtering

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MM00: ACM Multimedia 2000
October 30 - November 3, 2000
California, Los Angeles, USA

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Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Cited By

View all
  • (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
  • (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
  • (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
  • (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
  • (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
  • (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
  • (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
  • (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
  • (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
  • (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
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