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1 1 : 3D-HEVC (Regular Paper) 19 5, (JBE Vol. 19, No. 5, September 2014) ISSN (Online) ISSN (Print) 3D-HEVC a), a) Performance Analysis of 3D-HEVC Video Coding Daemin Park a), and Haechul Choi a) 3. 3.,,.. JCT-3V(Joint Collaborative Team on 3D Video Coding Extension Development) 3. JCT-3V HEVC(High Efficiency Video Coding) 3D-HEVC.. Abstract Multi-view and 3D video technologies for a next generation video service are widely studied. These technologies can make users feel realistic experience as supporting various views. Because acquisition and transmission of a large number of views require a high cost, main challenges for multi-view and 3D video include view synthesis, video coding, and depth coding. Recently, JCT-3V (joint collaborative team on 3D video coding extension development) has being developed a new standard for multi-view and 3D video. In this paper, major tools adopted in this standard are introduced and evaluated in terms of coding efficiency and complexity. This performance analysis would be helpful for the development of a fast 3D video encoder as well as a new 3D video coding algorithm. Keyword : 3D video, Multi-view video, video coding, performance analysis, HEVC a) (Multimedia Engineering, Hanbat National University) Corresponding Author : (Haechul Choi) choihc@hanbat.ac.kr Tel: (2012H1B8A ) (NRF-2013 R1A1A ). Manuscript received July 22, 2014 Revised August 18, 2014 Accepted August 18, 2014
2 (JBE Vol. 19, No. 5, September 2014).. 3DV(3D Video) [1]. 3 HD(High Definition) 2 2D [2]. 3D (Stereoscopic),,.,, [3]. ISO/IEC JTC1/SC29/WG11 MPEG(Mov-ing Picture Experts Group) 3DV.,,.,. 3DV,., 3D, [4]. 3 (Call For Proposal) [5] MPEG, JCT-3V(Joint Collaborative Team on 3D Video Coding Extension Development) [5] Table 1. Standardization schedule of JCT-3V [5] (Working Draft) MVC compatible extension including depth AVC compatible video-plus-depth extension HEVC 3D extensions 1 3. MVC compatible extension including depth H.264/AVC multi-view video coding (MVC) (syntax) 3. AVC(Advanced Video Coding) 3D AVC compatible video-plus-depth extension [6]. 2D HEVC(High Efficiency Video Coding) 3D HEVC 3D extension [3][6]. HEVC 3D 3D-HEVC. JCT-3V 3D-HEVC.,
![1 : 3D-HEVC.,,. 3D-HEVC,., 3D-HEVC.,.. 2 3D-HEVC,,, HTM(HEVC Test Model Ver. 10.0 ) [7],. 3 HTM,. 4. 2. 3D-HEVC 1 3D-HEVC (View). (View) (View 0) T0-D0-T1-D1-T2-D2, T D, T D. HEVC.](/docs-images/85/92247078/images/3-0.jpg "(Non-Base view) 3D-HEVC. (Texture first coding)., [7]. 2.1.")
3 1 : 3D-HEVC.,,. 3D-HEVC,., 3D-HEVC.,.. 2 3D-HEVC,,, HTM(HEVC Test Model Ver ) [7],. 3 HTM, D-HEVC 1 3D-HEVC (View). (View) (View 0) T0-D0-T1-D1-T2-D2, T D, T D. HEVC. (Non-Base view) 3D-HEVC. (Texture first coding)., [7]. 2.1.,. 3D-HEVC, [7][8]. 1. 3D-HEVC [7] Fig. 1. 3D-HEVC encoder and prediction structure [7] IVMP(Inter-View Motion Parameter Prediction) 3D-HEVC DV-MCP(Disparity vector motion compensated prediction) DCP(Disparity compensated prediction). MCP. DV-MCP. DCP
4 (JBE Vol. 19, No. 5, September 2014) MCP.,. 3D-HEVC (, ) (IVMP, Inter-View Motion Prediction). 3D-HEVC IVMP 4, , 4 Do-NBDV(Depth oriented neighbouring block based disparity vector). 3 4,. 3 CU(Coding Unit) MCP. 3. MCP IVMP Fig. 3. The inter-view predicted motion vector of a MCP coded block 3 MCP IVMP,. [7][9]. 4 Do-NBDV (Virtual depth), Virtual depth., 4 3, 2. Fig. 2. Location of spatial and temporal neighbour blocks 4. Fig. 4. Derivation of the virtual depth block
![1 : 3D-HEVC., 3 [7][9]. 2.1.2 IVRP(Inter-View Residual Parameter Prediction) IVRP(Inter-View Residual Parameter Prediction).](/docs-images/85/92247078/images/5-0.jpg "5, Dc Dr (, MCP ), Dc Bc MCP, Dr Dc Dc Bc. Dc Bc, [7][10]. 6. (Advanced Residual Prediction) [11] Fig.")
![6. Advanced Residual Prediction [11] Dc VD Bc Br, Bc Br Dr Dc [7][11]. 2.1.4 IC(Illumination Compensation) (view).](/docs-images/85/92247078/images/5-1.jpg "3D-HEVC IC(Illumination compensation),. 7, CU PU (1) 5. [11] Fig. 5. Inter-view residual prediction [11] 2.")
5 1 : 3D-HEVC., 3 [7][9] IVRP(Inter-View Residual Parameter Prediction) IVRP(Inter-View Residual Parameter Prediction). 5, Dc Dr (, MCP ), Dc Bc MCP, Dr Dc Dc Bc. Dc Bc, [7][10]. 6. (Advanced Residual Prediction) [11] Fig. 6. Advanced Residual Prediction [11] Dc VD Bc Br, Bc Br Dr Dc [7][11] IC(Illumination Compensation) (view). 3D-HEVC IC(Illumination compensation),. 7, CU PU (1) 5. [11] Fig. 5. Inter-view residual prediction [11] ARP(Advanced Residual Prediction) ARP IVRP. 5 Bc Dc IVRP. ARP. 6, 7. [8] Fig. 7. Neighbouring samples for the derivation of illumination compensation parameters [8]
![(JBE Vol. 19, No. 5, September 2014) a b.,. [7][12]. 2.2 2.2.1 MPI(Motion Parameter Inheritance) MPI(Motion Parameter Inheritance). 3D-HEVC HEVC. CU CU. 3D-HEVC CU. CU. CU [7][14]. 2.2.2 QTLPC(Quadtree limitation Predictive Coding) 3D-HEVC QTLPC(Quadtree limitation Predictive Coding) CU CU.](/docs-images/85/92247078/images/6-0.jpg ".,.,, CU CU CU. QTLPC PU PU. 8 PU PU., PU 2N 2N, 2N N, N 2N 2N 2N PU PU [8][15]. 8. PU PU [15] Fig. 8. Texture partitions and corresponding possible depth partitions [15] 2.2.3 DMM(Depth Modeling Mode) DMM.")
6 (JBE Vol. 19, No. 5, September 2014) a b.,. [7][12] MPI(Motion Parameter Inheritance) MPI(Motion Parameter Inheritance). 3D-HEVC HEVC. CU CU. 3D-HEVC CU. CU. CU [7][14] QTLPC(Quadtree limitation Predictive Coding) 3D-HEVC QTLPC(Quadtree limitation Predictive Coding) CU CU..,.,, CU CU CU. QTLPC PU PU. 8 PU PU., PU 2N 2N, 2N N, N 2N 2N 2N PU PU [8][15]. 8. PU PU [15] Fig. 8. Texture partitions and corresponding possible depth partitions [15] DMM(Depth Modeling Mode) DMM. HEVC PU 35, DC. (Wedgelet) (Contour). 9
![1 : 3D-HEVC [7]. DC., 10 P1 P1 DC, P2 P2 DC. DC 10 2 [7]. 9. ( ), ( ) [13] Fig. 9. Wedgelet(up), Contour(down) [13].](/docs-images/85/92247078/images/7-0.jpg ". DMM 1 4 4. 1 3, 4. 1 ( 9 S) ( 9 E). 2 HEVC DMM. 1. 3. 4.. CTLB(co-located texture luma block) CTLB, 10.")
![[7] Fig. 10. Selection of reference samples for difference partition pattern cases [7] 3.](/docs-images/85/92247078/images/7-1.jpg "IVMP, ARP, IC MPI, DMM, QTLPC., HTM, 2.. 3D-HEVC 3DV-HTM 10.0.")
7 1 : 3D-HEVC [7]. DC., 10 P1 P1 DC, P2 P2 DC. DC 10 2 [7]. 9. ( ), ( ) [13] Fig. 9. Wedgelet(up), Contour(down) [13].. DMM , 4. 1 ( 9 S) ( 9 E). 2 HEVC DMM CTLB(co-located texture luma block) CTLB, 10. [7] Fig. 10. Selection of reference samples for difference partition pattern cases [7] 3. IVMP, ARP, IC MPI, DMM, QTLPC., HTM, 2.. 3D-HEVC 3DV-HTM 10.0.
8 (JBE Vol. 19, No. 5, September 2014) PC Intel Sandy Bridge 2.4GHz E5 2665, RAM 128GB RAM. 3D-HEVC CTC(Common Test Condition) [16] A(1024x 768) Balloons, Kendo, Newpaper C (1920x1088) GT_Fly, Poznan_Street. CTC (QP: quantization parameter) 25, 30, 35, 40, 34, 39, 42, ,,. 2. Table 2. Test sequences GT_Fly 1920x Poznan_Street 1920x Newspaper 1024x Balloons 1024x D-HEVC Table 3. Coding efficiency of 3D-HEVC compared with simulcast (BD-rate) View 1 View 2 GT_Fly -30.4% -29.8% Poznan_Street -18.5% -19.2% Newspaper -21.7% -20.4% Balloons -33.7% -32.9% Kendo -30.9% -33.1% Average % %. 3D-HEVC. 3D-HEVC Y-PSNR bitrate. Balloons view 1, Poznan_ Street view1. 3D-HEVC,. Kendo 1024x D-HEVC. (simulcast) HEVC.. 3, View 0 (base view), HEVC. 3 simulcast 3D-HEVC 27% Balloons - Fig. 11. R-D Curve for sequence Balloons that has the best coding efficiency in Table 3
9 1 : 3D-HEVC Poznan_Street - Fig. 12. R-D Curve for sequence Poznan_Street that has the worst coding efficiency in Table D-HEVC Table 4. Coding efficiency of inter-view prediction tools in 3D-HEVC compared with simulcast GT_Fly Poznan_ Street Newspap er Balloons Kendo Average (BD-rate) IC ARP IVMP IC+ ARP+ IVMP View 1 0.0% -3.0% -21.7% -21.9% View 2 0.0% -2.3% -21.6% -21.8% View 1 0.3% -6.3% -11.7% -15.1% View 2-0.9% -6.5% -11.6% -16.0% View 1-0.8% -8.0% -14.4% -19.6% View 2-2.1% -7.3% -12.9% -18.6% View 1-3.1% -13.8% -24.0% -31.5% View 2-2.9% -13.0% -23.0% -30.4% View 1-4.7% -11.8% -18.5% -28.6% View 2-6.3% -12.9% -18.2% -30.5% View % -8.58% % % View % -8.4% % % II.2-1 IVMP, ARP, IC 3. IC Kendo View1, 2-4.7% -6.3% BD-rate, GT_Fly View1, 2. Kendo IC, GT_Fly. IC. ARP Kendo View1, %, -13.0%, GT_Fly -3.0% -2.3%. GT_Fly. IVMP Balloons View1, 2-24%, -23%, Poznan_Street View1, %, -11.6%. 4 Balloons IVMP. 3,. 13, 14 3 IC, ARP, IVMP 3, -. Balloons, Poznan_Street. IVMP..,. 3D-HEVC MPI.
10 (JBE Vol. 19, No. 5, September 2014) 5. 3D-HEVC Table 5. Coding efficiency of depth map coding tools when inter-view coding tools are turned on (BD-rate) MPI DMM QTLPC Kendo - Fig. 13. R-D Curve for sequence Kendo that has the best coding efficiency in Table Poznan_Street - Fig. 14. R-D Curve for sequence Poznan_Street that has the worst coding efficiency in Table 4 II.2-2 3D-HEVC MPI, DMM, QTLPC 5. 5 T, D. HEVC. 3 MPI GT_Fly Poznan_ Street Newspaper Balloons Kendo Average View 1(T) -6.7% -8.5% -4.5% View 2(T) -8.6% -7.1% -3.9% View 0(D) -13.1% -8.6% -1.4% View 1(D) -8.5% -5.4% -3.7% View 2(D) -9.4% -3.6% -3.0% View 1(T) -4.4% -4.3% -10.0% View 2(T) -3.9% -3.9% -9.4% View 0(D) -10.6% -1.7% -0.3% View 1(D) -11.2% 0.7% -4.4% View 2(D) -8.5% -0.1% -4.3% View 1(T) -2.5% -2.5% -2.5% View 2(T) -2.0% -2.1% -2.0% View 0(D) -7.1% -2.2% 5.3% View 1(D) -5.6% -2.0% 1.4% View 2(D) -4.8% -1.6% 4.4% View 1(T) -3.2% -3.3% -3.2% View 2(T) -3.7% -3.6% -3.8% View 0(D) -6.5% -0.7% 3.3% View 1(D) -7.0% -0.9% 1.7% View 2(D) -9.4% -0.3% 1.9% View 1(T) -3.4% -3.5% -3.3% View 2(T) -4.0% -3.8% -4.1% View 0(D) -3.2% 0.0% 3.6% View 1(D) -5.8% 0.6% 3.7% View 2(D) -5.5% -0.6% 5.5% View 1(T) -4.04% -3.24% -2.81% View 2(T) -4.14% -3.93% -4.26% View 0(D) -6.93% -2.97% 0.33% View 1(D) -6.36% -1.00% 0.84% View 2(D) -7.03% -0.71% 1.70%.. MPI.
11 1 : 3D-HEVC GT_Fly GT_Fly - (zoom-in).,, MPI., DMM GT_Fly. GT_Fly.. DMM. QTLPC CU PU GT_Fly Poznan_ Street,. QTLPC CU PU. QTLPC.. 15, Newspaper - Fig. 16. R-D Curve for sequence Newspaper(Texture) that has the worst coding efficiency in Table D-HEVC QTLPC Table 6. complexity efficiency of QTLPC QTLPC GT_Fly 74.1% Poznan_Street 74.0% Newspaper 87.9% Balloons 80.2% Kendo 87.2% Average 80.68% GT_Fly - Fig. 15. R-D Curve for sequence GT_Fly(Texture) that has the best coding efficiency in Table 5 -. Poznan_street View 1, Newspaper View , GT_Fly View 0, Kendo View 0., 15 16
12 (JBE Vol. 19, No. 5, September 2014). 18, DMM MPI. MPI, DMM. QTLPC. QTLPC (execution time). QTLPC 6. HEVC CU. QTLPC CU 80.68%.. 3D-HEVC. 3D-HEVC, ,. (References) [1] A. Smolic and P. Kauff, Interactive 3D video representation and coding technologies," Proc. of IEEE, Special Issue on Advances in Video Coding and Delivery, pp , Jan [2] ISO/IEC JTC1/SC29/WG11, Reference software of depth estimation and views synthesis for FTV/3DV, M15836, Oct [3] Y. Ho, 3D Video Compression MPEG 3DV Standardization, IDEC Newsletter, pp , May [4] ISO/IEC JTC1/SC29/WG11, Applications and requirements on 3D video coding, N12035, Geneva, Switzerland, March [5] ISO/IEC JTC1/SC29/WG11, Call for proposals on 3D video coding technology," N12036, Geneva, Switzerland, March [6] ISO/IEC JTC1/SC29/WG11, MPEG time line," N14404, Valencia, Spain, April [7] Y. Chen, G. Tech, K. Wegner, and S. Yea, Test model 8 of 3D-HEVC and MV-HEVC," JCT3V-H1003, Valencia, Spain, April [8] L. Zhang, G. Tech, K. Wegner, and S. Yea, Test model 7 of 3D-HEVC and MV-HEVC," JCT3V-G1005, San Jose, US, Jan [9] J. An, Y.-W. Chen, J.-L. Lin, Y.-W. Huang, and S. Lei, CE 5 related: Inter-view motion prediction for HEVC-based 3D video coding," JCT3V-A0049, Stockholm, Sweden, July [10] G. Tech, K. Wegner, Y. Chen, and S. Yea, 3D-HEVC test model 2, JCT3V-B1005, Shanghai, China, Oct [11] X. Li, L. Zhang, and Y. Chen, Advanced residual prediction in 3D-HEVC, Proc. of 20th IEEE International Conference Image Processing (ICIP), pp , Sept [12] J. Lee, Description of Core Experiment 2: Illumination compensation," JCT3V-A1102, Stockholm, Sweden, July [13] K. Muller, H. Schwarz, D. Marpe, C. Bartnik, S. Bosse, H. Brust, T. Hinz, H. Lakshman, P. Merkle, F. H. Rhee, G. Tech, M. Winken, and T. Wiegand, 3D high-efficiency video coding for multi-view and depth data, IEEE Trans. on Image Processing, Vol. 22, No. 9, pp , Sept [14] J. Jung and K. Viswanathan, Depth quadtree prediction for HTM," JCT3V-A0044, Stockholm, Sweden, July [15] X. Zhang, K. Zhang, J. An, J.-L. Lin, and S. Lei, CE2 related: A texture-partition-dependent depth partition for 3D-HEVC," JCT3V-G0055, San Jose, US, Jan [16] D. Rusanovskyy, K. Mueller, and A. Vetro, Common test conditions of 3DV core experiments, JCT3V-E1100, Vienna, Austria, Aug
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그림 2. 최근 출시된 스마트폰의 최대 확장 가능한 내장 및 외장 메모리 용량 원한다. 예전의 피쳐폰에 비해 대용량 메모리를 채택하고 있지 만, 아직 데스크톱 컴퓨터 에 비하면 턱없이 부족한 용량이다. 또한, 대용량 외장 메모리는 그 비용이 비싼 편이다. 그러므로 기존
스마트폰을 위한 A/V 신호처리기술 편집위원 : 김홍국 (광주과학기술원) 스마트폰을 위한 동영상 압축 기술 호요성, 최정아 광주과학기술원 요 약 스마트폰이 대중화되면서 이동통신 시장은 일대 혁신을 맞이 했다. 최근 출시되는 스마트폰이 크고 선명한 화면과 빠른 프로 세서를 잇따라 탑재하면서 고해상도 및 고품질 영상에 대한 사 용자들의 수요가 급증하고 있다. 하지만
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The e-business Studies Volume 17, Number 4, August, 30, 2016:319~332 Received: 2016/07/28, Accepted: 2016/08/28 Revised: 2016/08/27, Published: 2016/08/30 [ABSTRACT] This paper examined what determina
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The e-business Studies Volume 17, Number 6, December, 30, 2016:275~289 Received: 2016/12/02, Accepted: 2016/12/22 Revised: 2016/12/20, Published: 2016/12/30 [ABSTRACT] SNS is used in various fields. Although
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박건수 *, 서태영 **, 김종욱 *** ". 요약 Abstract The induction melting furnace using electric generator has been introduced since 1920s, and it began to be widely applied to industrial applications due to increasing
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