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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 111
PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, GRID AND CLOUD COMPUTING FOR ENGINEERING
Edited by: P. Iványi, B.H.V. Topping and G. Várady
Paper 42

Hybrid Computing for Intra Prediction in HEVC

V.Galiano, V.Herranz, H.Migallón, O. López-Granado, P. Pi˜nol and M. P. Malumbres

Miguel Hernóndez University, Elche, Spain

Full Bibliographic Reference for this paper
V. Galiano, V. Herranz, H. Migallon, O. Lopez-Granado, P. Piñol, M.P. Malumbres, "Hybrid Computing for Intra Prediction in HEVC ", in P. Iványi, B.H.V. Topping, G. Várady, (Editors), "Proceedings of the Fifth International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 42, 2017. doi:10.4203/ccp.111.42
Keywords: parallel algorithm, video coding, HEVC, GPU, intra-prediction.

Summary
The HEVC video coding standard designed by the Joint Collaborative Team on Video Coding requires nearly 70% more time than the previous standard H.264/AVC to encode a video sequence, because it is computationally more complex than its predecessor. We can take advantage of many-core architectures to reduce the total coding time, and thus, in this paper, we propose the use of an hybrid architecture where intensive computing of intra-picture prediction is performed in GPUs. We have analyzed the sequential intra prediction algorithm in HEVC and we propose a parallel architecture where the sequential thread can be highly parallelized in order to reduce the total coding time.

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