Face Detection for Cast Searching in Video 


Vol. 30,  No. 10, pp. 983-991, Oct.  2005


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  Abstract

Human faces are commonly found in a video such as a drama and provide useful information for video content analysis. Therefore, face detection plays an important role in applications such as face recognition, and face image database management. In this paper, we propose a face detection algorithm based on pre-processing of scene change detection for indexing and cast searching in video. The proposed algorithm consists of three stages: scene change detection stage, face region detection stage, and eyes and mouth detection stage. Experimental results show that the proposed algorithm can detect faces successfully over a wide range of facial variations in scale, rotation, pose, and position, and the performance is improved by 24% with profile images comparing with conventional methods using color components.

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  Cite this article

[IEEE Style]

S. Paik, J. Kim, J. Yoo, "Face Detection for Cast Searching in Video," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 10, pp. 983-991, 2005. DOI: .

[ACM Style]

Seung-ho Paik, Jun-hwan Kim, and Ji-sang Yoo. 2005. Face Detection for Cast Searching in Video. The Journal of Korean Institute of Communications and Information Sciences, 30, 10, (2005), 983-991. DOI: .

[KICS Style]

Seung-ho Paik, Jun-hwan Kim, Ji-sang Yoo, "Face Detection for Cast Searching in Video," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 10, pp. 983-991, 10. 2005.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880