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In this paper we consider the problem of face detection from compressed video streams. In particular, we propose a testbed for testing different formats of compression.

Date of Conference: 8-14 February 1997 Conference name: Electronic Imaging '97 - Proceedings Visual Communications and Image Processing '97 This paper describes a method for selecting key frames by using a number of parameters extracted from the MPEG video stream. The parameters are directly extracted from the compressed video stream without decompression. A combination of these parameters are then used in a rule based decision system. The computational complexity for extracting the parameters and for key frame decision rule is very small. As a results, the overall operation is very quickly performed and this makes our algorithm handy for practical purposes. The experimental results show that this method can select the distinctive frames of video streams successfully.