Energy-Efficient Architectures for Multiview Video Coding

  • Bruno Zatt
  • Muhammad Shafique
  • Sergio Bampi
  • Jörg Henkel


Although the fast ME/DE provides significant complexity reduction, a high-throughput hardware architecture is required for real-time ME/DE in MVC. Without a dedicated hardware, ME/DE for MVC in real-time mobile application is unfeasible. Therefore, in addition to our fast ME/DE algorithm we propose a novel motion and disparity estimation hardware architecture designed to provide real-time MVC encoding for up to four views HD1080p (1920 × 1080) based on the proposed fast ME/DE algorithm. Firstly, we are going to start presenting a high-level architectural template description. The architectural template, presented in Sect. 5.1, will give the required basis for a better understanding of the proposed architecture.


Search Pattern Hardware Architecture External Memory Search Window Search Stage 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. Chen C-Y et al (2006) Level C+ data reuse scheme for motion estimation with corresponding coding orders. IEEE Trans Circuits Syst Video Technol 16:553–558CrossRefGoogle Scholar
  2. Chen T-C et al (2007a) Fast algorithm and architecture design of low-power integer motion estimation for H.264/AVC. IEEE Trans Circuits Syst Video Technol 17:568–577CrossRefGoogle Scholar
  3. Chen T-C et al (2007b) Fast algorithm and architecture design of low-power integer motion estimation for H.264/AVC. [s.l.]. IEEE Trans Circuits Syst Video Technol 17: 568–577CrossRefGoogle Scholar
  4. Ding L-F et al (2010a) A 212 MPixels/s 4096 2160p multiview video encoder chip for 3D/Quad full HDTV applications. IEEE J Solid-State Circuits 45:46–58CrossRefGoogle Scholar
  5. Ghanbari M (1990) The cross-search algorithm for motion estimation. IEEE Trans Commun 38:950–953CrossRefGoogle Scholar
  6. JVT (2009a) JMVC 6.0 []Google Scholar
  7. Marlow S, Ng J, McArdle C (1997) Efficient motion estimation using multiple log searching and adaptive search windows. In: International conference on image processing and its applications, pp 214–218Google Scholar
  8. Saponara S, Fanucci L (2004a) Data-adaptive motion estimation algorithm and VLSI architecture design for low-power video systems. IEE Comput Digit Tech 151:51–59CrossRefGoogle Scholar
  9. Tsai C-Y et al (2007) Low power cache algorithm and architecture design for fast motion estimation in H.264/AVC encoder system. In: International conference on acoustics speech and signal processing (ICASSP), pp II-97–II-100Google Scholar
  10. Tsung P-K et al (2009) Cache-based integer motion/disparity estimation for quad-HD H.264/AVC and HD multiview video coding. In: International conference on acoustics, speech and signal processing, IEEE, Taipei, pp 2013–2016Google Scholar
  11. Yang J (2009) Multiview video coding based on rectified epipolar lines. In: International conference on information, communication and signal processing, pp 1–5Google Scholar
  12. Zatt B et al (2011c) Multi-level pipelined parallel hardware architecture for high throughput motion and disparity estimation in multiview video coding. In: IEEE/ACM 14th design automation and test in europe conference (DATE’11), vol 14, pp 1448–1453Google Scholar
  13. Zatt B et al (2011d) Run-time adaptive energy-aware motion and disparity estimation in multiview video coding. In: ACM/IEEE/EDA 48th design automation conference (DAC’11), pp 1026–1031Google Scholar
  14. Zhang K et al (2005) SRAM design on 65-nm CMOS technology with dynamic sleep transistor for leakage reduction. IEEE J Solid-State Circuits: 895–901Google Scholar

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Bruno Zatt
    • 1
    • 2
  • Muhammad Shafique
    • 3
  • Sergio Bampi
    • 2
  • Jörg Henkel
    • 1
  1. 1.Department of Computer ScienceKarlsruhe Institute of TechnologyKarlsruheGermany
  2. 2.Institute of Informatics Federal University of Rio Grande do Sul (UFRGS)Porto AlegreBrazil
  3. 3.Karlsruhe Institute of TechnologyKarlsruheGermany

Personalised recommendations