Analysis of Motion Estimation Algorithm in HEVC

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1 Analysis of Motion Estimation Algorithm in HEVC Multimedia Processing EE5359 Spring 2014 Update: 2/27/2014 Advisor: Dr. K. R. Rao Department of Electrical Engineering University of Texas, Arlington Tuan Ho

2 Outline Scope of this work HEVC Overview Motion Estimation Challenges for Motion Estimation in HEVC Approaches Implementation and Results 2

3 Outline Scope of this work HEVC Overview Motion Estimation Challenges for Motion Estimation in HEVC Approaches Implementation and Results 3

4 Scope Analysis the computational complexity in HEVC motion estimation (ME) and state-of-the-art approaches. Implement the approaches into HEVC Model. Quality assertment methods: PSNR [20] SSIM [21] Bjontegaard BD-PSNR [22] 4

5 Outline Scope of this work HEVC Overview Motion Estimation Challenges for Motion Estimation in HEVC Approaches Implementation and Results 5

6 HEVC Overview HEVC is the current joint video coding standardization project of the ITU-T and ISO/IEC MPEG [1]. Aimed at doubling the compression ratio of H.264 at the same level of visual quality [1]. Exceed H.264 in terms of performance and computational complexity. Lot of tools and features have been brought forth into HEVC: quadtree partion, SAO, etc. 6

7 HEVC Overview HEVC Encoder Block Diagram (Decoder components modeling in light gray) [1] 7

8 HEVC Quadtree Partition HEVC Quadtree Partition [15] 8

9 Outline Scope of this work HEVC Overview Motion Estimation (ME) Challenges for Motion Estimation in HEVC Approaches Implementation and Results 9

10 ME Overview Motion Estimation Process Illustration [3] 10

11 ME Computational Complexity Inter prediction can take up to 84% of the entire encoding time [17]. HEVC encoding time portions. These execution time results were obtained by profiling the encoding of the BasketballDrive Full HD ( ) sequence. [17] 11

12 ME Computational Complexity Largest block size in HEVC is 64x64, 4 times bigger than its of H.264. This significantly raises the ME computational complexity. 12

13 Outline Scope of this work HEVC Overview Motion Estimation Challenges for Motion Estimation in HEVC Approaches Implementation and Results 13

14 ME Challenges Many partition sizes in the quadtree HEVC 8x8 to 64x64 Quadtree Partition [1] 14

15 ME Challenges HEVC ME for large-sized partition (i.e. 64x64) requires heavy computation exceeding its predecessor. In H.264 largest block size is 16x16. [Ref] - Big interpolation logic. - Time-consuming SAD process. - Large memory storage. 64x64PU HEVC ME for 64x64 PU 15

16 ME Challenges HEVC Interpolation on large-sized partitions HEVC Interpolation Filter [1] 16

17 Outline Scope of this work HEVC Overview Motion Estimation Challenges for Motion Estimation in HEVC Approaches Implementation and Results 17

18 Approaches Employ optimized fast search algorithms. Fast search algorithms - (a) Two dimensional logarithmic (2DLOG), (b) Three steps search (TSS), (c) New three steps search (NTSS) [6] 18

19 Approaches Employ optimized fast search algorithms. Fast search algorithms - (a) Four steps search (FSS), (b) One-at-a-time search (OTA), (c) Orthogonal search algorithm (OSA) [6] 19

20 Approaches Hierarchical Search Hierarchical Search [6] 20

21 Approaches Complexity Control Employment Complexity of processing regarding to CU Depth [15] 21

22 Approaches Complexity Control Employment (to be cont') 22

23 Outline Scope of this work HEVC Overview Motion Estimation Challenges for Motion Estimation in HEVC Approaches Implementation and Results 23

24 Implementation and Results To be added 24

25 References [1] G. Sullivan et al, "Overview of the High Efficiency Video Coding (HEVC) Standard," IEEE Transactions On Circuits and Systems For Video Technology, Vol. 22, No. 12, pp , Dec [2] T. Sotetsumoto et al, "Low complexity algorithm for sub-pixel motion estimation of HEVC," 2013 IEEE International Conference on Signal Processing, Communication and Computing (ICSPCC), pp. 1-4, Aug [3] N. Purnachand et al, "Fast Motion Estimation Algorithm for HEVC," 2012 IEEE International Conference on Consumer Electronics - Berlin (ICCE-Berlin), pp , Aug [4] C. Yan et al, "Highly Parallel Framework for HEVC Motion Estimation on Many-Core Platform", IEEE Data Compression Conference (DCC), pp , Mar

26 References [5] G. Sullivan et al, Standardized Extensions of High Efficiency Video Coding (HEVC), IEEE Journal of Selected Topics in Signal Processing, Vol. 7, No. 6, pp , Dec [6] M. Jakubowski and G. Pastuzak, Block based motion estimation algorithms a survey, Opto- Electronics Review, Vol. 21, No.1, pp , Mar [7] HEVC development at Fraunhofer Heinrich Hertz Institute: [8] HEVC Bitstreams: ftp://ftp.kw.bbc.co.uk/hevc/ [9] HEVC Model (HM) repository: [10] HEVC HM Software Manual: 26

27 References [11] HEVC Development Guidelines: [12] HEVC Specification:Complexity control of high efficiency video encoders for power-constrained devices [13] T. Wiegand et al, Overview of the H.264/AVC video coding standard, IEEE Transactions on Circuits and Systems for Video Technology, Vol.13, No. 7, pp , July [14] G. Correa et al, Complexity control of high efficiency video encoders for power-constrained devices, IEEE Transactions on Consumer Electronics, Vol. 57, No. 4, pp , Nov [15] G. Correa et al, Coding Tree Depth Estimation for Complexity Reduction of HEVC, IEEE Data Compression Conference (DCC), pp , Mar

28 References [16] S. Kim et al, A Novel Fast and Low-complexity Motion Estimation for UHD HEVC, Picture Coding Symposium (PCS), pp , Dec [17] M. Grellert et al, An adaptive workload management scheme for HEVC encoding, 20th IEEE International Conference on Image Processing (ICIP), pp , Sep [18] D. Han; A. Kulkarni and K. R. Rao, Fast inter-prediction mode decision algorithm for H.264 video encoder, 9th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), pp. 1 4, May [19] K. R. Rao et al, Video coding standards - AVS China, H.264/MPEG- 4 PART 10, HEVC, VP6, DIRAC and VC-1, Springer,

29 [20] PSNR article in Wikipedia: [21] Z. Wang et al, Image quality assessment: from error visibility to structural similarity, IEEE Transactions on Image Processing, Vol. 13, No. 4, pp , Apr [22] G. Bjontegaard (2008), Improvements of the BD-PSNR model, Document of ITU-T Q.6/SG16, Berlin, Germany, July 16-18,

30 Acronyms SAO: Sample Adaptive Offset 2DLOG: Two dimensional logarithmic CTU: Coding Tree Unit CU: Coding Unit FSS: Four steps search HEVC: High Efficiency Video Coding HD: High Definition JCT-VC: Joint Collaborative Team on Video Coding PU: Prediction Unit ME: Motion Estimation MPEG: Moving Picture Experts Group 30

31 Acronyms NTSS: New three steps search OSA: Orthogonal search algorithm OTA: One-at-a-time search SAO: Sample Adaptive Offset T.B.D: To Be Determined TSS: Three steps search VCEG: Video Coding Experts Group 31

32 The End Thank you! 32

33 Old: 3D Video Two type of 3D display Stereoscopic displays: need 3D-display glasses to generate multi views for viewer' eyes. auto-stereoscopic displays: do not require glasses for viewing. 33

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