On face detection in the compressed domain

  • Authors:
  • Huitao Luo;Alexandros Eleftheriadis

  • Affiliations:
  • Advent Group, Columbia University;Advent Group, Columbia University

  • Venue:
  • MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
  • Year:
  • 2000

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Abstract

We propose a fast face detection algorithm that works directly on the compressed DCT domain. Unlike the previous DCT domain processing designs that are mainly based on skin-color detection, our algorithm analyzes both color and texture information contained in the DCT parameters, therefore could generate more reliable detection results. Our texture analysis is mainly based on statistical model training and detection. A number of fundamental problems, e.g., block quantization, preprocessing in the DCT domain, and feature vector selection and classification in the DCT domain, are discussed.