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Proceedings Paper

Content-based retrieval system for image using human face information
Author(s): HwangSeok Oh; JongSeung Park; DukHo Chang; GilRok Oh
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Paper Abstract

The content-based image retrieval system framework using human-level features of image contents is presented. The system consists of face detection to locate the human faces within images, face recognition of the similarity measure between a query face and indexed faces within storage. Face detection and recognition techniques used in the system are very simple because short response time in interactive multimedia systems is essential. Color and elongated Gaussian filter response are used for face detection and dimple structural and normalized template matching are used for face similarities. Simulation results are summarized using restricted test images.

Paper Details

Date Published: 23 December 1999
PDF: 9 pages
Proc. SPIE 3972, Storage and Retrieval for Media Databases 2000, (23 December 1999); doi: 10.1117/12.373550
Show Author Affiliations
HwangSeok Oh, Electronics and Telecommunications Research Institute (South Korea)
JongSeung Park, Electronics and Telecommunications Research Institute (South Korea)
DukHo Chang, Electronics and Telecommunications Research Institute (South Korea)
GilRok Oh, Electronics and Telecommunications Research Institute (South Korea)


Published in SPIE Proceedings Vol. 3972:
Storage and Retrieval for Media Databases 2000
Minerva M. Yeung; Boon-Lock Yeo; Charles A. Bouman, Editor(s)

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