Abstract
Higher video frame-rates are being considered to achieve more realistic representations. Recent developments in CMOS image sensors have made high frame-rate video signals, over 1000 [Hz], feasible. Efficient coding methods are required for such high frame-rate video signals because of the sheer volume of data generated by such frame rates. Even though it is necessary to understand the statistical properties of these video signals for designing efficient coding methods, these properties have never been clarified, up to now. This chapter establishes, for high frame-rate video, two mathematical models that describe the relationship between frame-rate and bit-rate. The first model corresponds to temporal sub-sampling by frame skip. The second one corresponds to temporal down-sampling by mean filtering, which triggers the integral phenomenon that occurs when the frame-rate is downsampled.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Dettmer, R.: Digital cinema: a slow revolution. IEE Review 49(10), 46–50 (2003)
Husak, W.: Economic and other considerations for digital cinema. Signal Processing: Image Communication 19(9), 921–936 (2004)
Kanazawa, M., Kondoh, M., Okano, F., Haino, F., Sato, M., Doi, K., Hamada, K.: An ultrahigh-definition display using the pixel offset method. Journal of the SID (2004)
Nojiri, Y.: An approach to Ultra High-Definition TV. In: Proc. Int. symposium on universal communication, Kyoto, Japan (2007)
Sakaida, S., Nakajima, N., Iguchi, K., Gohshi, S., Kazui, K., Nakagawa, A., Sakai, K.: Development of avc/h.264 codec system for super hi-vision. In: Proc. Int. Workshop on Advanced Image Technology, Bangkok, Thailand (2008)
Shirai, D., Yamaguchi, T., Shimizu, T., Murooka, T., Fujii, T.: 4k SHD real-time video streaming system with JPEG 2000 parallel codec. In: IEEE Asia Pacific Conference on Circuits and Systems, Singapore (2006)
Durand, F., Dorsey, J.: Fast bilateral filtering for the display of high-dynamic-range images. In: Proc. SIGGRAPH, San Antonio, TX, USA (2002)
Meylan, L., Susstrunk, S.: High dynamic range image rendering with a retinex-based adaptive filter. IEEE Trans. on Image Proc. 15(9) (2005)
ITU-T Recommendation T.832 and ISO/IEC 29199-2. Information technology - JPEG XR image coding system - Part 2: Image coding specification (2009)
Mantiuk, N., Efremov, N., Myszkowski, K., Seidel, H.: Backward compatible high dynamic range MPEG video compression. ACM Trans. Graph. 25(3), 713–723 (2006)
Segall, A.: Scalable coding of high dynamic range video. In: Proc. IEEE Int. Conf. on Image Processing, San Antonio, TX, USA (2007)
Ohsawa, K., Ajito, K., Fukuda, H., Komiya, Y., Haneishi, H., Yamaguchi, H., Ohyama, N.: Six-band hdtv camera system for spectrum-based color reproduction. Journal of Imaging Science and Technology 48(2), 85–92 (2004)
Sullivan, G., Yu, H., Sekiguchi, S., Sun, H., Wedi, T., Wittmann, S., Lee, Y., Segall, A., Suzuki, T.: New standardized extensions of MPEG4-AVC/H.264 for professional-quality video applications. In: Proc. IEEE Int. Conf. on Image Processing, San Antonio, TX, USA (2007)
Spillmann L., Werner J.: Visual perception the neurophysiological foundations. Academic Press, San Diego (1990)
Ogasawara, T., Yamauchi, M., Tomura, Y., Yamazaki, J., Gotoh, M., Hashimoto, Y., Cho, H., Kochi, E., Kanayama, S.: A 300fps progressive scan HDTV high speed camera. The Journal of ITE 60(3), 358–365 (2007) (in Japanese)
Wilburn, B., Joshi, N., Vaish, V., Talvala, E., Antunez, E., Barth, A., Adams, A., Horowitz, M., Levoy, M.: High performance imaging using large camera arrays. ACM Trans. on Graphics 24(3), 765–776 (2005)
Komuro, T., Ishii, I., Ishikawa, M., Yoshida, A.: A digital vision chip specialized for high-speed target tracking. IEEE trans. on Electron Devices 50(1), 191–199 (2003)
Muehlmann, U., Ribo, M., Lang, P., Pinz, A.: A new high speed CMOS camera for real-time tracking applications. In: Proc. IEEE Int. Conf. on Robotics and Automation, New Orleans, LA, USA (2004)
Lim, S., Gamal, A.: Optical flow estimation using high frame rate sequences. In: Proc. IEEE Int. Conf. on Image Processing, Thessaloniki, Greece (2001)
Shishikui, Y.: A study on modeling of the motion compensation prediction error signal. IEICE Trans. Communications E75-B(5), 368–376 (1992)
Murayama, N.: The law of video data compression. In: Proc. PSCJ, Japan (1988) (in Japanese)
Zheng, W., Shishikui, Y., Naemura, M., Kanatsugu, Y., Itho, S.: Analysis of space-dependent characteristics of motion-compensated frame differences based on a statistic motion distribution model. IEEE Trans. on Image Proc. 11(4), 377–386 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Bandoh, Y., Takamura, S., Jozawa, H., Yashima, Y. (2010). Mathematical Modeling for High Frame-Rate Video Signal. In: Mrak, M., Grgic, M., Kunt, M. (eds) High-Quality Visual Experience. Signals and Communication Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12802-8_8
Download citation
DOI: https://doi.org/10.1007/978-3-642-12802-8_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12801-1
Online ISBN: 978-3-642-12802-8
eBook Packages: EngineeringEngineering (R0)