Abstract
With CPU, GPU and other hardware accelerators, heterogeneous systems can increase the computing performance in many domains of general purpose computing. Open Computing Language (OpenCL) is the first open and free standard for heterogeneous computing on multi hardware platforms. In this paper, a parallelized Full Search Motion Estimation (FSME) approach exploits the parallelism available in OpenCL-supported devices and algorithm. Different from existing GPU-based ME approach, the proposed approach is implemented on the heterogeneous computing system which contains CPU and GPU. In the meantime, we propose the prototyping framework directly generates the executable code for target hardware from the high level description of applications, and balances the workload distribution in the heterogeneous system. It greatly reduces the development period of parallel programming and easily access the parallel computing without concentrating on the complex kernel code.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
IETR, Orcc. http://orcc.sourceforge.net/
IETR, Preesm. http://preesm.sourceforge.net/website/
CAPS, Hybrid multicore parallel programming (HMPP). http://www.caps-entreprise.com/technology/hmpp/
Zhang, J., Nezan, J.-F., Cousin, J.-G.: Implementation of stereo matching using a high level compiler for parallel computing acceleration. In: 27th Image and Vision Computing New Zealand, pp. 279–283 (2012)
Grauer-Gray, S., Xu, L., Searles, R., Ayalasomayajula, S., Cavazos, J.: Auto-tuning a high-level language targeted to GPU codes. In: Proceedings of Innovative Parallel Computing, pp. 1–10 (2012)
Gorin, J., Wipliez, M., Prêteux, F., Raulet, M.: LLVM-based and scalable MPEG-RVC decoder. J. Real-Time Image Process 6(1), 59–70 (2011)
Gu, R., Janneck, J.W., Bhattacharyya, S.S., Raulet, M., Wipliez, M., Plishker, W.: Exploring the concurrency of an MPEG RVC decoder based on dataflow program analysis. IEEE Trans. Circuits Syst. Video Technol. 19(11), 1646–1657 (2009)
Zhang, J., Bai, C., Nezan, J.F.: Joint motion model for local stereo video-matching method. Opt. Eng. 54(12), 123108.1–123108.10 (2015)
Wang, M., Hong, R., Yuan, X.-T., Yan, S., Chua, T.-S.: Movie2Comics: towards a lively video content presentation. IEEE Trans. Multimedia 14(3), 858–870 (2012)
Wang, M., Hong, R., Li, G., Zha, Z.-J., Yan, S., Chua, T.-S.: Event driven web video summarization by tag localization and key-shot identification. IEEE Trans. Multimedia 14(4), 975–985 (2012)
Janneck, J.W., Miller, I.D., Parlour, D.B., Roquier, G., Wipliez, M., Raulet, M.: Synthesizing hardware from dataflow programs. J. Signal Process. Syst. 63(2), 241–249 (2011)
Lee, C.-Y.: Multi-pass, frame parallel algorithms of motion estimation in H.264/AVC for generic GPU. In: IEEE International Conference on Multimedia and Expo, pp. 1603–1606 (2007)
Chen, W.-N.: H.264/AVC motion estimation implementation on compute unified device architecture (CUDA). In: IEEE International Conference on Multimedia and Expo, pp. 697–700 (2008)
NVIDIA, OpenCL Programming for the CUDA Architecture, v2.3
Mattavelli, M., Amer, I., Raulet, M.: The reconfigurable video coding standard [standards in a nutshell]. IEEE Signal Process. Mag. 27(3), 159–167 (2010)
Acknowledgements
This work was carried out with the Scientific Research Foundation (s8113055001) of Nanjing University of Information Science & Technology, Scientific Research Foundation (BK20150931) of JiangSu Province and Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund (the second phase). The work of Cong Bai is funded by Natural Science Foundation of China under Grant No. 61502424, 61402415, U1509207 and 61325019, Zhejiang Provincial Natural Science Foundation of China under Grant No. LY15F020028, LY15F030014, LY16F020033 and Zhejiang University of Technology under Grant No. 2014XZ006. The authors would like to thank the anonymous reviewers and the associate editor.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing AG
About this paper
Cite this paper
Zhang, J., Shang, J., Bai, C. (2016). Prototyping Methodology with Motion Estimation Algorithm. In: Chen, E., Gong, Y., Tie, Y. (eds) Advances in Multimedia Information Processing - PCM 2016. PCM 2016. Lecture Notes in Computer Science(), vol 9916. Springer, Cham. https://doi.org/10.1007/978-3-319-48890-5_33
Download citation
DOI: https://doi.org/10.1007/978-3-319-48890-5_33
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-48889-9
Online ISBN: 978-3-319-48890-5
eBook Packages: Computer ScienceComputer Science (R0)