Abstract
The emerging High Efficiency Video Coding (HEVC) aims to achieve significantly improved compression performance with respect to the state-of-the-art H.264/AVC high profile. This better compression performance is achieved at a much higher computational complexity, which makes it difficult for real-time video systems. To reduce the encoding complexity, this paper presents an improved similarity-based fast coding unit depth decision algorithm for inter-frame coding. Firstly, a fast and precise depth information acquisition method is proposed to improve the accuracy of depth prediction. Secondly, CTUs of the medium similarity degree is further divided into two similarity degree categories, and the complexity of coding the coding tree units of these two categories is reduced by different coding unit depth decision strategies. Experimental results show that proposed algorithm can save on average 35.72% of the encoding time with negligible loss on the rate-distortion performance compared with HM11.0 and consistently outperforms the state-of-the-art schemes.
This is a preview of subscription content, log in via an institution to check access.
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
Wiegand, T., Sullivan, G.J., Bjontegaard, G., Luthra, A.: Overview of the H.264/AVC video coding standard. IEEE Transactions on Circuits and Systems for Video Technology 13(7), 560–576 (2003)
Bross, B., Han, W.J., Ohm, J.R., Sullivan, G.J., Wang, Y.K., Wiegand, T.: High Efficiency Video Coding (HEVC) Text Specification Draft 10. JCTVC of ISO/IEC and ITU-T, Doc. JCTVC-L1003, Geneva, Switzerland (January 2013)
Sullivan, G.J., Ohm, J., Woo-Jin, H., Wiegand, T.: Overview of the High Efficiency Video Coding (HEVC) Standard. IEEE Transactions on Circuits and Systems for Video Technology 22(12), 1649–1668 (2012)
Yoo, H., Suh, J.: Fast coding unit decision algorithm based on inter and intra prediction unit termination for HEVC. In: IEEE International Conference on Consumer Electronics, ICCE, Las Vegas, NV, pp. 300–301 (January 2013)
Choi, K., Park, S.H., Jang, E.S.: Coding tree pruning based CU early termination. JCTVC of ISO/IEC and ITU-T, Doc. JCTVC-F092, Torino, Italy (July 2011)
Shen, X., Yu, L., Chen, J.: Fast coding unit size selection for HEVC based on Bayesian decision rule. In: Picture Coding Symposium, PCS, Kraków, Poland, pp. 453–456 (May 2012)
Lee, J.H., Park, C.S., Kim, B.G.: Fast coding algorithm based on adaptive coding depth range selection for HEVC. In: IEEE International Conference on Consumer Electronics, ICCE, Berlin, Germany, pp. 31–33 (September 2012)
Lee, H.S., Kim, K.Y., Kim, T.R., Park, G.H.: Fast encoding algorithm based on depth of coding-unit for high efficiency video coding. Optical Engineering 51(6), 67402 (2012)
Zhang, Y., Wang, H., Li, Z.: Fast Coding Unit Depth Decision Algorithm for Interframe Coding in HEVC. In: Data Compression Conference, DCC, Snowbird, UT, pp. 53–62 (March 2013)
Shen, L., Liu, Z., Zhang, X., Zhao, W., Zhang, Z.: An Effective CU Size Decision Method for HEVC Encoders. IEEE Transactions on Multimedia 15(2), 465–470 (2013)
Bjontegard, G.: Calculation of average PSNR differences between RD-curves. VCEG of ITU-T, Doc. VCEG-M33, Austin, Texas, USA (April 2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Fan, R., Zhang, Y., Li, Z., Wang, N. (2014). An Improved Similarity-Based Fast Coding Unit Depth Decision Algorithm for Inter-frame Coding in HEVC. In: Gurrin, C., Hopfgartner, F., Hurst, W., Johansen, H., Lee, H., O’Connor, N. (eds) MultiMedia Modeling. MMM 2014. Lecture Notes in Computer Science, vol 8325. Springer, Cham. https://doi.org/10.1007/978-3-319-04114-8_45
Download citation
DOI: https://doi.org/10.1007/978-3-319-04114-8_45
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04113-1
Online ISBN: 978-3-319-04114-8
eBook Packages: Computer ScienceComputer Science (R0)