The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
\(\lambda \) Domain Rate Control Algorithm for High Efficiency Video Coding
Abstract
Rate control is a useful tool for video coding, especially in real-time communication applications. Most of existing rate control algorithms are based on the R-Q model, which characterizes the relationship between bitrate R and quantization Q , under the assumption that Q is the critical factor on rate control. However, with the video coding schemes becoming more and more flexible, it is very difficult to accurately model the R-Q relationship. In fact, we find that there exists a more robust correspondence between R and the Lagrange multiplier λ . Therefore, in this paper, we propose a novel λ -domain rate control algorithm based on the R-λ model, and implement it in the newest video coding standard high efficiency video coding (HEVC). Experimental results show that the proposed λ -domain rate control can achieve the target bitrates more accurately than the original rate control algorithm in the HEVC reference software as well as obtain significant R-D performance gain. Thanks to the high accurate rate control algorithm, hierarchical bit allocation can be enabled in the implemented video coding scheme, which can bring additional R-D performance gain. Experimental results demonstrate that the proposed λ -domain rate control algorithm is effective for HEVC, which outperforms the R-Q model based rate control in HM-8.0 (HEVC reference software) by 0.55 dB on average and up to 1.81 dB for low delay coding structure, and 1.08 dB on average and up to 3.77 dB for random access coding structure. The proposed λ -domain rate control algorithm has already been adopted by Joint Collaborative Team on Video Coding and integrated into the HEVC reference software.
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Cites
Overview of the High Efficiency Video Coding (HEVC) Standard
Sullivan, G. J., Ohm, J.-R., Han, W.-J., & Wiegand, T. (2012) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2012.2221191 · Cited by 8,263
Calcuation of average PSNR differences between RD-curves
Bjøntegaard, G. (2001) · Medical Entomology and Zoology · Cited by 4,573
WIDROW, B., & HOFF, M. E. (1960) · doi:10.21236/ad0241531 · Cited by 4,009
Rate-constrained coder control and comparison of video coding standards
Wiegand, T., Schwarz, H., Joch, A., Kossentini, F., & Sullivan, G. J. (2003) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2003.815168 · Cited by 3,146
Common test conditions and software reference configurations
Bossen, F. (2010) · Medical Entomology and Zoology · Cited by 1,731
Rate-distortion optimization for video compression
Sullivan, G. J., & Wiegand, T. (1998) · IEEE Signal Processing Magazine · doi:10.1109/79.733497 · Cited by 1,727
Rate-distortion methods for image and video compression
Ortego, A., & Ramchandran, K. (1998) · IEEE Signal Processing Magazine · doi:10.1109/79.733495 · Cited by 808
Analysis of low bit rate image transform coding
Mallat, S., & Falzon, F. (1998) · IEEE Transactions on Signal Processing · doi:10.1109/78.668554 · Cited by 288
A Novel Rate Control Scheme for Low Delay Video Communication of H.264/AVC Standard
Liu, Y., Li, Z. G., & Soh, Y. C. (2007) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2006.887081 · Cited by 194
Perceptual Rate-Distortion Optimization Using Structural Similarity Index as Quality Metric
Huang, Y., Ou, T.-S., Su, P.-Y., & Chen, H. H. (2010) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2010.2087472 · Cited by 118
Cited by
Deep Learning-Based Video Coding: A Review and a Case Study
Liu, D., Li, Y., Lin, J., Li, H., & Wu, F. (2021) · ACM Computing Surveys · doi:10.1145/3368405 · Cited by 192
Self-citationLow delay error resilience algorithm for H. 265| HEVC video transmission
Alfaqheri, T. T., & Sadka, A. H. (2020) · Journal of Real-Time Image Processing · doi:10.1007/s11554-019-00923-5 · Cited by 10
Metadata
- Authors
- Li, B., Li, H., Li, L., & Zhang, J.
- Venue
- IEEE Transactions on Image Processing
- Published
- 2014-09
- Volume
- 23
- Issue
- 9
- Pages
- 3841-3854
- ISSN
- 1057-7149 (ISSN-L)
- 1941-0042
- OpenAlex
- W2407574721
- Cited by
- 371
- References
- 14
- FWCI
- 43.96
- Type
- journal article
- Language
- en
- Open access
- closed
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