Segmentation of motion field for scalable video compression

• Autorzy: Marchewka A.
• Języki publikacji: EN

Abstrakty

EN

In this article we present new proposition of video compression based on a hybrid codec with segmentation. We proposed video segmentation algorithm based on block matching algorithm and Marcov Random Fields. This system works in two steps. In the first step motion vectors will be calculated. In the next step motion vector will be used in segmentation process. The second stage is an image classification based on motion vector and intensity function as well as compression with different rates of all segmentation regions from image. In this work we can also find influence of different macroblocks shape for: estimation vector field, segmentation process and compression rate.

Słowa kluczowe

EN

image compression; hybrid codec; segmentation

• Wydawca: Instytut Telekomunikacji i Informatyki Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
• Czasopismo: Image Processing & Communications
• Rocznik: 2008
• Tom: Vol. 13, no 3-4
• Strony: 41--46
• Opis fizyczny: Bibliogr. 8 poz., rys.

Twórcy

autor

Marchewka A.

• Institute of Telecommunication, University of Technology and Life Sciences, Kaliskiego 7, 85-791 Bydgoszcz

Bibliografia

• [1] D. Geman, S. Geman. Stochastic relaxation, gibbs distribution and bayesian restoration of images. IEEE Trans. PAMI, 6(6):721741, 1984. GEMAN84.
• [2] ISO/IEC. Information technology - generic coding of moving pictures and associated audio information, Part 2: Video. ISO/IEC, Geneva, Switzerland, 1996.
• [3] ITU-T. Video coding for low bit rate communication. International Telecommunications Union. International Telecommunications Union, Geneva, Switzerland, 2005. ITU-T Recommendation H. 263.
• [4] P. Lalande, P. Bouthemy, A statistical approach to the detection and tracking of moving obiects in an image sequence. In Proceedings of 5th ESPC EUSIPCO 90, 1990.
• [5] A. Marchewka, Image motion estimation: a survey. Image Processing & Communications, vol. 10, no. l, pp. 5-12, 2005.
• [6] T. Sikora, B. Makai, Shape-adaptive DCT for generic coding of video. IEEE Trans. Circuits and Systems for Video Technology, 5(1):5962, Luty 1995.
• [7] C. S. Won, A block-based MAP segmentation for image compressions. IEEE Trans. Circuits and Systems for Video Technology, 8(5):592601, September 1998.
• [8] W. Zeng, J. Du, W. Gao, Q. Huang, Robust moving object segmentation on h.264/avc compressed video using the block-based mrf model. Real-Time Imaging, 11(4):290299, 2005.