Selective coding of human faces using wavelets

Jaeyoung Seol, Kwanghoon Sohn, Chulhee Lee

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)


In this paper, we propose an automated selective coding algorithm for human faces using neural networks and wavelets. In the proposed coding algorithm, we try to preserve information of human faces as much as possible without compromising overall compression efficiency. In particular, we want to eliminate the artifacts near the boundary between the face and background. We first extract the facial area using the location information of the eye and the skin color information. When we allocate bits at each level in wavelet transform, we allocate more bits to the area corresponding to the facial area. Experiments show that we can obtain a crisper facial area at the expense of the background.

Original languageEnglish
Pages (from-to)1384-1387
Number of pages4
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Publication statusPublished - 2000
Event2000 IEEE Interantional Conference on Systems, Man and Cybernetics - Nashville, TN, USA
Duration: 2000 Oct 82000 Oct 11

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Hardware and Architecture


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