Browse > Article
http://dx.doi.org/10.5909/JBE.2020.25.3.313

Wrap-around Motion Vector Prediction for 360 Video Streams in Versatile Video Coding  

Lee, Minhun (Dept. of Electronic Engineering, Kwangwoon University)
Lee, Jongseok (Dept. of Computer Engineering, Kwangwoon University)
Park, Juntaek (Dept. of Computer Engineering, Kwangwoon University)
Lim, Woong (Electronics and Telecommunications Research Institute)
Bang, Gun (Electronics and Telecommunications Research Institute)
Sim, Dong Gyu (Dept. of Computer Engineering, Kwangwoon University)
Oh, Seoung-Jun (Dept. of Electronic Engineering, Kwangwoon University)
Publication Information
Journal of Broadcast Engineering / v.25, no.3, 2020 , pp. 313-324 More about this Journal
Abstract
In this paper, we propose a motion vector prediction method that increases the coding efficiency at the boundary of an image by utilizing the 360 video characteristic. In the current VVC method, the location of a neighbor block is excluded from the candidate list for inter prediction in case that it is out of boundary. This can reduce coding efficiency as well as subject quality. To solve this problem, we construct new candidates adding the location of the neighbor block at the boundary of the picture from already decoded information based on the projection method for 360 video coding. To evaluate the performance of the proposed method, we compare with VTM6.0 and 360Lib9.1 under Random Access condition of JVET-360 CTC. As a result, the coding performance shows a BD-rate reduction of 0.02% on average in luma component and 0.05%, 0.06% on average in chroma components respectively, without additional computational complexity. The coding performance at the picture boundary shows a BD-rate reduction of 0.29% on average in luma component and 0.45%, 0.43% on average in chroma components, respectively. Furthermore, we perform subjective quality test with the DSCQS method and obtain MOS values. The MOS value is improved by 0.03 value, and we calculate BD-MOS using MOS value and bit-rate. As a result, the proposed method improved performance by up to 8.78% and 5.18% on average.
Keywords
VVC; 360 Video; Wrap-around; Inter prediction; Motion vector candidate list;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
연도 인용수 순위
1 VTM, https://vcgit.hhi.fraunhofer.de/jvet/VVCSoftware_VTM
2 Y. Sun, A. Lu, and L. Yu, JVET-D0040, "AHG8: WS-PSNR for 360 video objective quality evaluation", Oct. 2016.
3 M. Yu, H. Lakshman, and B. Girod, "A framework to evaluate omnidirectional video coding schemes", in 2015 IEEE International Symposium on Mixed and Augmented Reality, pp. 31-36, Oct. 2015.
4 V. Zakharchenko, K. P. Choi, E. Alshina, and J. H. Park, "Omnidirectional video quality metrics and evaluation process", in 2017 Data Compression Conference, pp. 472-472, Apr. 2017.
5 360Lib, https://jvet.hhi.fraunhofer.de/svn/svn_360Lib/
6 S. Yoon and G. Park, "Improve Compression Efficiency of 360degree VR Video by Correcting Perspective in Cubemap Projection", Journal of Broadcast Engineering, Vol.22, No.1, pp.136-139, May. 2017.   DOI
7 Y. Yoon, Y. Ahn, D. Sim, and J. Kim, "Efficient methods of inactive regions padding for segmented sphere projection (SSP) of 360 video", IEICE TRANSACTIONS on Information and Systems, Vol.101, No.11, pp.2836-2839, Nov. 2018.
8 B. Bross, J. Chen, and S. Liu, JVET-O2001, "Versatile Video Coding (Draft 6)", Jul. 2019.
9 P. Hanhart, J. Boyce, K. Choi, and J.-L. Lin, JVET-L1012, "JVET common test conditions and evaluation procedures for $360^{\circ}$ video", Oct. 2018.
10 G. Bjontegaard, VCEG-M33, "Calculation of average PSNR differences between RD-curves", Apr. 2014.
11 ITU-R BT.500-13, "Methodology for the subjective assessment of the quality of television pictures", Jan. 2012.
12 P. Hanhart, M. Rerabek, F. De Simone, and T. Ebrahimi, "Subjective quality evaluation of the upcoming HEVC video compression standard", Applications of digital image processing XXXV, Vol.8499, pp.1 -13, Aug. 2012.
13 YUView, https://https://github.com/IENT/YUView
14 F. Bossen, X. Li, and K. Suehring, JVET-P0003, "AHG report: Test model software development (AHG3)", Oct. 2019.
15 C. Kim, "A Comparative Study for Virtual Reality $360^{\circ}$ Contents Shooting Equipments Based on Real World", Journal of Broadcast Engineering, Vol.21, No. 5, pp.714-725, Sep. 2016.   DOI
16 J. Lee, J. Park, H. Choi, J. Byeon, and D. Sim, "Overview of VVC", Broadcasting and Media Magazine, Vol.24, No.4, pp.10-25, Oct. 2019.