O. López-Granado

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The high efficiency video coding (HEVC) is the newest video coding standard from the ITU-T Video Coding Experts Group and the ISO/IEC Moving Picture Experts Group, which significantly increases the computing demands to encode video to reach the limits on compression efficiency. Our interest is centered on applying parallel processing techniques to HEVC(More)
Recently, a new video coding standard called HEVC has been developed to deal with the nowadays media market challenges, being able to reduce to the half, on average, the bit stream size produced by the former video coding standard H.264/AVC at the same video quality. However, the computing requirements to encode video improving compression efficiency have(More)
The three-dimensional wavelet transform (3D-DWT) has focused the attention of the research community, most of all in areas such as video watermarking, compression of volumetric medical data, multispectral image coding, 3D model coding and video coding. In this work, we present several strategies to speed up the 3D-DWT computation through multicore(More)
The new video coding standard HEVC includes two concepts that allow to partition a frame into regions that can be independently encoded and decoded. These two concepts are named “Tiles” and “Slices”. In this paper, we present and analyze optimized parallel versions of the HEVC encoder based on tile and slice partitioning. We have evaluated the benefits and(More)
The HEVC video coding standard launched on 2013, is able to reduce to the half, on average, the bit stream size produced by H.264/AVC encoder at the same video quality, but it requires nearly 70 % more time than H.264/AVC to encode a video sequence. In this paper we propose several parallelization approaches to the HEVC encoder. Our proposals, for(More)
The HEVC video coding standard requires nearly 70 % more time than H.264/AVC to encode a video sequence. Manycore architectures can considerably help to reduce the coding time. In this paper, we propose the use of GPUs to perform the intra-picture prediction without any R/D loss. We have evaluated our proposal and compared the results with the ones obtained(More)
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