An efficient low bitrate video transmission algorithm supported by the Monte Carlo method

• Autorzy: Lech P. , Okarma K.
• Języki publikacji: EN

Abstrakty

EN

In the paper a proposal of practical utilisation of motion detection algorithvi supported by the Monte Carlo method for video transmission using low bandwidth networks is presented. Proposed approach is especially useful for low performance embedded systems with the limited amount of memory. The idea of the Monti Carlo based transmission system with its example implementation using FTP and HTTP protocols is discussed. Our algorithm has much less computational requirements and can be easily implemented in many low performance hardware systems.

Słowa kluczowe

EN

video transmission; statistical image analysis; Monte Carlo method

PL

transmisja wideo; analiza grafiki statystycznej; metoda Monte Carlo

• Wydawca: Komisja Informatyki Polskiej Akademii Nauk, Oddział w Gdańsku
• Czasopismo: Metody Informatyki Stosowanej
• Rocznik: 2008
• Tom: nr 2 (Tom 15)
• Strony: 51--62
• Opis fizyczny: Bibliogr. 11 poz., rys., tab.

Twórcy

autor

Lech P.

autor

Okarma K.

• Szczecin University of Technology, Faculty of Electrical Engineering

Bibliografia

• [1] Chen, D., Odobez, J.-M.: Sequential Monte Carlo Video Text Segmentation. In: International Conference on Image Processing ICIP 2003, vol. 3, IEEE Press, New York (2003) s. 21-24,
• |2] Cantu M.: Mastering Delphi 7. Sybex, 2002.
• [3] Fearnhead P.: Computational Methods for Complex Stochastic Systems: A Review oj Some Alternatives to MCMC. Statistics and Computing, available online, Springer DOI 10.1007/sl 1222-007-9045-8, 2008.
• |4] Furt B., Handbook of Internet and Multimedia: Systems and Applications. CRC Press, 1999
• [5] Lech P., Okarma K.: Fast algorithm of preliminary image analysis based on Monte Carlo method for real-time object recognition systems. Polish Journal of Environmental Studies vol. 16 no. 5B/2007 (ACS'2007 Proceedings) s. 265-208.
• [6] Lech P., Okarma K.: Reduction of visualisation errors caused by changing light conditions for low bitrate video transmission over the FTP Based on Monte Carlo Motion Detection Method. Polish Journal of Environmental Studies vol. 16 no. 5B/2007 (ACS'2007 Proceedings) s. 207-211.
• [7] Luo, PL, Eleftheriadis, A., Kouloheris, J.: Statistical Model-Basal Video Segmentation and its Application to Very Low Bit-Rate Video Coding. Signal Processing: Image Communication Vol. 16 No. 3/2000, s. 333-352.
• [8] Quan, G., Chelappa, R.: Structure from Motion Using Sequential Monte Carlo Methods. International Journal of Computer Vision Vol. 59 No. 1/2004, s. 5-31.
• [9] Rubinstein R.Y.: Simulation and. the Monte Carlo Method. Wiley, 1981.
• [10] Woźniewicz A.J.: Web Programming for Delphi. Optimax, 2003.
• [11] Zhai, Y., Shah, M.: Video Scene Segmentation Using Markov Chain Monte Carlo. IEEE Transactions on Multimedia Vol. 8 No. 4/2006, s. 686-697.