Abstract
The ability to give higher priority to Region-of-Interest (ROI) is the emerging functionality for nowadays video coding. A simple and fast method of face detection is proposed to dynamically define ROI in real time application. We use the color information Cr and RGB variance to determine the skin-color pixels. We don’t need extra preprocessing, because these two color spaces are used in most hardware and video codec standards. Then, we use low-pass filters for background to reduce used bits. For video coding system, a region-based video codec based on the H.263+ with the option mode of modified quantization is set up. We adjust the distortion weight parameter and variance at macroblock layer to control the qualities at different regions. From experimental results, the proposed method can signi.cantly improve quality at ROI. Our method is suitable for real time videoconferencing.
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References
International Telecommunication Union, “Video coding for low bit rate communication”, ITU-T Recommendation H.263 version 2, January 1998.
D. Chai and K. N. Ngan, “Face segmentation using skin-color map in videophone applications”, IEEE Trans. On Circuits and Systems for Video Technology, Vol. 9, No. 4, pp.551–564, June 1999.
S. Satoh, Y. Nakamura and T. Kanade, “Name-it: Naming and detecting faces in news video”, IEEE Multimedia, Vol. 6, No. 1, pp. 22–35, 1999.
Q.B. Sun, W.M. Huang and J.K. Wu, “Face detection based on color and local symmetry information”, Proc. 3rd Int’l Conf. Automatic Face and Gesture Recognition, pp. 130–135, 1998.
K. Sobottka and I. Pitas, “Face localization and feature extraction based on shape and color information”, Proc. IEEE Int’l Conf. Image Processing, pp. 483–486, 1996.
D. Chai and K.N. Ngan, “Locating facial region of a head-and-shoulders color image”, Proc. 3rd Int’l Conf. Automatic Face and Gesture Recognition, pp. 124–129, 1998.
J. Yang and A. Waibel, “A real-time face tracker”, Proc. 3rd Workshop Applications of Computer Vision, pp. 142–147, 1996.
Y. Dai and Y. Nakano, “Face-texture model based on SGLD and its application in face detection in a color scene”, Pattern Recognition, Vol. 29, No. 6, pp. 1007–1017,1996.
ISO/IEC JTC1/SC29/WG11, “ISO/IEC CD 11172: Information Technology”, MPEG-1 Committee Draft, December 1991.
ISO/IEC JTC1/SC29/WG11, “ISO/IEC CD 11172: Information Technology”, MPEG-2 Committee Draft, December 1993.
C. E. Priebe, “Adaptive mixtures”, Journal of the American Statistical Association, Vol. 89,No. 427, pp. 796–806, 1994.
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© 2002 Springer-Verlag Berlin Heidelberg
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Chen, JW., Chen, MJ., Chi, MC. (2002). Region-of-Interest Video Coding Based on Face Detection. In: Chen, YC., Chang, LW., Hsu, CT. (eds) Advances in Multimedia Information Processing — PCM 2002. PCM 2002. Lecture Notes in Computer Science, vol 2532. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36228-2_149
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DOI: https://doi.org/10.1007/3-540-36228-2_149
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