Fast encoding algorithm for high-efficiency video coding (HEVC) system based on spatio-temporal correlation

Video compression technology is an importa nt research part to the intelligent user interface for interactive multimedia system using technologies and services such as image processing, pattern recognition, computer vision and cloud computing service. Recently, high-efficiency video coding (HEVC) ha...

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Vydáno v:Journal of real-time image processing Ročník 12; číslo 2; s. 407 - 418
Hlavní autoři: Lee, Jong-Hyeok, Goswami, Kalyan, Kim, Byung-Gyu, Jeong, Seyoon, Choi, Jin Soo
Médium: Journal Article
Jazyk:angličtina
Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2016
Springer Nature B.V
Témata:
ISSN:1861-8200, 1861-8219
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Abstract Video compression technology is an importa nt research part to the intelligent user interface for interactive multimedia system using technologies and services such as image processing, pattern recognition, computer vision and cloud computing service. Recently, high-efficiency video coding (HEVC) has been established as the demand of very high-quality multimedia service like ultrahigh definition video service. High-efficiency video coding (HEVC) standard has three units such as coding unit (CU), prediction unit (PU) and transform unit. It has too many complexities to improve coding performance. We propose a fast algorithm which can be possible to apply for both CU and PU parts. To reduce the computational complexity, we propose CU splitting algorithm based on rate–distortion cost of CU about the parent and current levels to terminate the CU decision early. In terms of PU, we develop fast PU decision based on spatio-temporal and depth correlation for PU level. Finally, experimental results show that our algorithm provides a significant time reduction for encoding with a small loss in video quality, compared to the original HEVC Test Model (HM) version 10.0 software and the previous algorithm.
AbstractList Video compression technology is an importa nt research part to the intelligent user interface for interactive multimedia system using technologies and services such as image processing, pattern recognition, computer vision and cloud computing service. Recently, high-efficiency video coding (HEVC) has been established as the demand of very high-quality multimedia service like ultrahigh definition video service. High-efficiency video coding (HEVC) standard has three units such as coding unit (CU), prediction unit (PU) and transform unit. It has too many complexities to improve coding performance. We propose a fast algorithm which can be possible to apply for both CU and PU parts. To reduce the computational complexity, we propose CU splitting algorithm based on rate–distortion cost of CU about the parent and current levels to terminate the CU decision early. In terms of PU, we develop fast PU decision based on spatio-temporal and depth correlation for PU level. Finally, experimental results show that our algorithm provides a significant time reduction for encoding with a small loss in video quality, compared to the original HEVC Test Model (HM) version 10.0 software and the previous algorithm.
Author Kim, Byung-Gyu
Choi, Jin Soo
Jeong, Seyoon
Lee, Jong-Hyeok
Goswami, Kalyan
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  surname: Choi
  fullname: Choi, Jin Soo
  organization: Realistic Media Research Section, ETRI
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Keywords Prediction unit (PU)
Coding tree block (CTB)
Coding unit (CU)
HEVC
CU splitting
PU decision
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References_xml – reference: Song, E.-H., Kim, H.-W., Jeong, Y.-S.: Visual monitoring system of multi-hosts behavior for trustworthiness with mobile cloud. In: J Info Process Syst (JIPS), vol. 8, No. 2, pp. 347–358, Jun 2012
– reference: Leng, J., Sun, L., Ikenaga, T., Sakaida, S.i.: Content based hierarchical fast coding unit decision algorithm for HEVC. In: International Conference on Multimedia and Signal Processing, China, May 2011
– reference: Kim, J.-H., Kim, B.-G., Cho, C.-S.: A fast mode decision algorithm using a block correlation in H.264/AVC. In: International Symposium on Consumer Electronics, IEEE, pp. 1–5, June (2011)
– reference: Bossen, F.: Common test conditions and software reference configurations. In: Joint Collaborative Team on Video Coding (JCT-VC) of ITU-T SG16 WP3 and ISO/IEC JTC1/SC29/WG11 12th Meeting, Jan (2013)
– reference: Tan, H.L., Liu, F., Tan, Y.H., Yeo, C.: On fast coding tree block and mode decision for high-efficiency video coding (HEVC). In: International Conference on Acoustics, Speech and Signal Processing, IEEE, pp. 825–828, Mar (2012)
– reference: Shen, X., Yu, L., Chen, J.: Fast coding unit size selection for HEVC based on Bayesian Decision Rule. In: Picture Coding Symposium (PCS), May (2012)
– reference: Jiang, W., Ma, H., Chen, Y.: Gradient based fast mode decision algorithm for intra prediction in HEVC. In: IEEE International Conference on Consumer Electronics, Communications and Networks (CECNet), (2012)
– reference: Kim, J., Jeong, S., Cho, S., Choi, J.S.: Adaptive coding unit early termination algorithm for HEVC. In: International Conference on Consumer Electronics (ICCE), Las Vegas, Jan (2012)
– reference: Teng, S.-W., Hang, H.-M., Chen, Y.-F.: Fast mode decision algorithm for residual quadtree coding in HEVC. In: Visual Communications and Image Processing, IEEE, pp. 1-4, Nov 2011
– reference: Choi, I., Lee, J., Jeon, B.: Fast coding mode selection with rate–distortion optimization for MPEG-4 Pare-10 AVC/H.264. In: IEEE Trans. Circuits Syst. Video Technol., vol. 16, no. 12, pp. 1557–1561, Dec (2006)
– reference: Lee, J., Jeon, B.: Fast method decision for H.264. In: IEEE International Conference Multimedia and Expo (ICME), June 2004
– reference: Hilmi, B., Goswami, K., Lee, J.-H., Kim, B.-G.: Fast inter-mode decision algorithm for H.264/AVC using macroblock correlation and motion complexity analysis. In: International Conference on Consumer Electronics (ICCE), Las Vegas, Jan (2012)
– reference: Choi, K., Jang, E.S.: Fast coding unit decision method based on coding tree pruning for high efficiency video coding. In: Optical Engineering Letter, Mar (2012)
– reference: Yo-Sung, H.: Challenging technical issues of 3D video processing. In: J Converg (JoC), vol. 4, No. 1, pp. 1–6, Mar (2013)
– reference: Yang, S., Lee, H., Shim, H.J., Jeon, B.: Fast inter mode decision process for HEVC encoder. In: Image, Video, and Multidimensional Signal Processing (IVMSP) Workshop, (2013)
– reference: ShenLLiuZZhangXZhaoWZhangZAn Effective CU Size Decision Method for HEVC EncodersIEEE Trans. Multimed.201315246547010.1109/TMM.2012.2231060
– reference: Tsai, J.C., Yen, N.Y.: Cloud-empowered multimedia service: an automatic video storytelling tool. In: J Converg (JoC), vol. 4, No. 3, pp. 13–19, Sept (2013)
– reference: Hosur, P.I., Ma, K.-K.: Motion vector field adaptive fast motion estimation. In: Inter. Conference on Information, Communications and Signal Processing (ICICS’99) (1999)
– reference: Kim, J., Yang, J., Won, K., Jeon, B.: Early determination of mode decision for HEVC. In: Picture Coding Symposium, pp. 449–452, May (2012)
– reference: Bjøntegaard, G.: Calculation of average PSNR differences between RD-curves. In: ITU-T SG 16 Q.6 Document, VCEG-M33, Austin, US, Apr (2001)
– reference: Maybury, M.T.: Intelligent user interfaces: an introduction. In: 4th international conference on intelligent user interfaces, 1999
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SubjectTerms Algorithms
Cloud computing
Coding
Coding standards
Computer Graphics
Computer Science
Computer vision
Costs
Efficiency
Image processing
Image Processing and Computer Vision
Interactive systems
Multimedia
Multimedia Information Systems
Optimization techniques
Pattern Recognition
Semantic web
Signal,Image and Speech Processing
Special Issue Paper
User interface
Video compression
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