Abstract
In this chapter the overall results of this work and the comparison with the latest state-of-the-art approaches are presented. Before moving to the actual comparison, a description of the experimental setup is presented discussing the fairness of comparison in relation to the related works. The benchmark video properties, common test conditions, simulation environment, and synthesis tool chain are also introduced in this chapter. The results for energy-efficient algorithms are discussed in terms of complexity reduction while considering the coding efficiency and video quality in relation to state-of-the-art and optimal solutions. The video quality control algorithm based on rate control is compared to other rate control techniques described in the current literature. Energy-efficient architectures are evaluated against the latest hardware solutions for ME/DE on MVC with emphasis on the overall energy consumption for both memory access and processing datapath. Additionally, throughput and IC footprint area are discussed.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Cadence Design Systems, Inc. (2012) Digital implementation. http://www.cadence.com/products/di/Pages/default.aspx
Chang NY-C et al (2010) Algorithm and architecture of disparity estimation with mini-census adaptive support weight. IEEE Trans Circuits Syst Video Technol 20:792–805
Chen C-Y et al (2006) Level C+ data reuse scheme for motion estimation with corresponding coding orders. IEEE Trans Circuits Syst Video Technol 16:553–558
Circuits Multi-Projects (2012) STMicroelectronics deep sub-micron processes. http://cmp.imag.fr/aboutus/slides/slides2007/04_KT_ST.pdf
Fukano G et al (2008) A 65nm 1Mb SRAM macro with dynamic voltage scaling in dual power supply scheme for low power SoCs, pp 97–98
Han D-H, Lee Y-L (2008) Fast mode decision using global disparity vector for multiview video coding. In: Future generation communication and networking symposia (FGCNS), pp 209–213
ISO/IEC (2011) Common test conditions for MVC—W12036 // ISO/IEC JTC1/SC29/WG11. Geneva, Switzerland, March de 2011 [s.n.]
ITU-T (1999) Subjective video quality assessment methods for multimedia applications—P.910 // Series P: telephone transmission quality, telephone installations, local line networks
JVT (2009a) JMVC 6.0 [garcon.ient.rwthaachen.de]
Lee P-J, Lai Y-C (2011) Vision perceptual based rate control algorithm for multi-view video coding. In: International conference on system science and engineering (ICSSE), pp 342–345
Li ZG et al (2003) Adaptive basic unit layer rate control for JVT—JVT-G012. In: 7th JVT Meeting, Thailand: [s.n.], March 2003
Lin Y-K et al (2008) A 242mW 10mm2 1080p H.264/AVC high profile encoder chip. In: Design automation conference, pp 78–83
Mentor Graphics (2012) ModelSim—advanced simulation and debugging. http://model.com/
Naccari M et al (2011) Low Complexity Deblocking Filter Perceptual Optimization For The HEVC codec. In: International conference on image processing, pp 737–740
Ozbek N, Tekalp AM, Tunali ET (2007) Rate allocation between views in scalable stereo video coding using an objective stereo video quality measure. In: International conference on acoustics speech and signal processing (ICASSP), pp 1045–1048
Shen L et al (2009b) Fast mode decision for multiview video coding. In: International conference on image processing (ICIP), pp 2953–2956
Singh H et al (2007) Enhanced leakage reduction techniques using intermediate strength power gating. IEEE Trans VLSI Syst 15:1215–1224
Su Y, Vetro A, Smolic A (2006) Common test conditions for multiview video coding—Doc. JVT-T207
Synopsys, Inc. (2012) IBM—65NM. http://www.synopsys.com/dw/emllselector.php?f=IBM&g=65
Tan TK, Sullivan G, Wedi T (2005) Recommended simulation conditions for coding efficiency experiments—VCEG-AA10. Nice, [s.n.]
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 2013–2016
Xilinx, Inc. (2012) ISE design suite. http://www.xilinx.com/products/design-tools/ise-design-suite/index.htm
Yan T et al (2009a) Frame-layer rate control algorithm for multi-view video coding. In: ACM/SIGEVO summit on genetic and evolutionary computation, pp 1025–1028
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 1448–1453
Zhang K et al (2005) SRAM design on 65-nm CMOS technology with dynamic sleep transistor for leakage reduction. IEEE J Solid-State Circuits: 895–901
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media New York
About this chapter
Cite this chapter
Zatt, B., Shafique, M., Bampi, S., Henkel, J. (2013). Results and Comparison. In: 3D Video Coding for Embedded Devices. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6759-5_6
Download citation
DOI: https://doi.org/10.1007/978-1-4614-6759-5_6
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-6758-8
Online ISBN: 978-1-4614-6759-5
eBook Packages: EngineeringEngineering (R0)