Abstract
This paper investigates the joint impact of variations of the frame rate and quantization on the coding bit-rate. Through theoretically linking the frame rate and the quantization step to the mean absolute difference (MAD), the MAD is modeled by a 2-D function, based on which a 2-D rate model is proposed. Extensive experimental results have demonstrated the effectiveness of the proposed 2-D rate model. Together with a 2-D distortion model, the proposed rate model can serve as the basis for advanced rate control in video coding and rate-constrained scalable video coding as well as bitstream adaptation.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Katto, J., Ohta, M.: Mathematical analysis of MPEG compression capability and its application to rate control. In: Proc. IEEE ICIP, Washington, DC, pp. 555–559 (1995)
Corbera, J., Lei, S.: Rate Control for Low-Delay Video Communications. ITU Study Group 16, Video Coding Experts Group, Documents Q15-A-20. Portland (1997)
Chiang, T., Zhang, Y.: A new rate control scheme using quadratic rate distortion model. IEEE Trans. on Circuits and Systems for Video Tech. 7(1), 246–250 (1997)
He, Z., Mitra, S.K.: A unified rate-distortion analysis frame work for transform coding. IEEE Trans. on Circuits and Systems for Video Tech. 11(12), 1221–1236 (2001)
Chen, J., Hang, H.: Source model for transform video coder and its application-part I, II. IEEE Trans. on Circuits and Systems for Video Tech. 7(2), 287–311 (1997)
Wei, J., Soong, B., Li, Z.: A new rate-distortion model for video transmission using multiple logarithmic functions. IEEE Signal Processing Letters 11(8), 694–697 (2004)
Lai, W., Gu, X.-D., Wang, R.-H., Dai, L.-R., Zhang, H.-J.: Perceptual video streaming by adaptive spatial-temporal scalability. In: Aizawa, K., Nakamura, Y., Satoh, S. (eds.) PCM 2004. LNCS, vol. 3332, pp. 431–438. Springer, Heidelberg (2004)
Zhai, G.T., Cai, J.F., Lin, W.S., Yang, X.K., Zhang, W.J.: Three dimensional scalable video adaptation via user-end perceptual quality assessment. IEEE Trans. on Broadcasting 54(3), 719–727 (2008)
Wang, Y., Ma, Z., Ou, Y.-F.: Modeling Rate and Perceptual Quality of Scalable Video as Functions of Quantization and Frame Rate and Its Application in Scalable Video Adaptation. In: Proceedings of 17th International Packet Video Workshop, pp. 1–9 (2009)
Lee, J.-W.: Bit Allocation For MPEG-4 Video Coding With Spatio-Temporal Tradeoffs. IEEE Trans. on Circuits and Systems for Video Tech. 13(6), 488–502 (2003)
Lee, H., Chiang, T., Zhang, Y.: Scalable rate control for MPEG-4 Video. IEEE Trans. on Circuits and Systems for Video Tech. 10(6), 878–894 (2000)
H.264/AVC reference software version JM8.6, http://iphome.hhi.de/suehring/tml/ [online]
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wan, S., Hou, J., Yang, F. (2011). Two-Dimensional Rate Model for Video Coding. In: Lee, J. (eds) Advanced Electrical and Electronics Engineering. Lecture Notes in Electrical Engineering, vol 87. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19712-3_19
Download citation
DOI: https://doi.org/10.1007/978-3-642-19712-3_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19711-6
Online ISBN: 978-3-642-19712-3
eBook Packages: EngineeringEngineering (R0)