Content-based retrieval system for image using human face information

HwangSeok Oh; JongSeung Park; DukHo Chang; GilRok Oh

doi:10.1117/12.373550

23 December 1999 Content-based retrieval system for image using human face information

HwangSeok Oh, JongSeung Park, DukHo Chang, GilRok Oh

Proceedings Volume 3972, Storage and Retrieval for Media Databases 2000; (1999) https://doi.org/10.1117/12.373550
Event: Electronic Imaging, 2000, San Jose, CA, United States

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.

Citation Download Citation

HwangSeok Oh, JongSeung Park, DukHo Chang, and GilRok Oh "Content-based retrieval system for image using human face information", Proc. SPIE 3972, Storage and Retrieval for Media Databases 2000, (23 December 1999); https://doi.org/10.1117/12.373550

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