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The Scientific World Journal
Volume 2014 (2014), Article ID 716020, 19 pages
http://dx.doi.org/10.1155/2014/716020
Research Article

Efficient Parallel Video Processing Techniques on GPU: From Framework to Implementation

School of Computer Science and Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology, Changsha, Hunan 410073, China

Received 27 November 2013; Accepted 16 January 2014; Published 16 March 2014

Academic Editors: J. Shu and F. Yu

Copyright © 2014 Huayou Su et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Stefan Radicke, Jens-Uwe Hahn, Qi Wang, and Christos Grecos, “Bi-predictive motion estimation for HEVC on a graphics processing unit (GPU),” IEEE Transactions on Consumer Electronics, vol. 60, no. 4, pp. 728–736, 2014. View at Publisher · View at Google Scholar
  • Charalampos Konstantopoulos, “A parallel algorithm for motion estimation in video coding using the bilinear transformation,” Springerplus, vol. 4, 2015. View at Publisher · View at Google Scholar
  • Nejmeddine Bahri, Nidhameddine Belhadj, Nouri Masmoudi, Thierry Grandpierre, Mohamed Ali Ben Ayed, and Mohamed Akil, “Real-time H264/AVC encoder based on enhanced frame level parallelism for smart multicore DSP camera,” Journal of Real-Time Image Processing, vol. 12, no. 4, pp. 791–812, 2016. View at Publisher · View at Google Scholar
  • Nejmeddine Bahri, Thierry Grandpierre, Med Ali Ben Ayed, Nouri Masmoudi, and Mohamed Akil, “Embedded Real-Time H264/AVC High Definition Video Encoder on TI’s KeyStone Multicore DSP,” Journal of Signal Processing Systems, vol. 86, no. 1, pp. 67–84, 2016. View at Publisher · View at Google Scholar