Hardware-friendly HEVC motion estimation: new algorithms and efficient VLSI designs targeting high definition videos

Sanchez, Gustavo; Porto, Marcelo; Agostini, Luciano

doi:10.1007/s10470-014-0342-9

Cited by 11 publications

(1 citation statement)

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“…Until recently, most research works have focused on the inter-frame prediction process in order to reduce the encoding complexity of H.264/AVC and previous standards, since this is considered the most complex operation of those standards [3][4][5][6]. However, the decision of the new partitioning structures introduced in HEVC increased significantly the encoding computational complexity, so that part of the research effort has been shifted to this task.…”

Section: Introductionmentioning

confidence: 99%

Fast coding tree structure decision for HEVC based on classification trees

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Agostini

et al. 2016

Analog Integr Circ Sig Process

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The High Efficiency Video Coding (HEVC) standard provides improved compression rates in comparison to its predecessors at the cost of large increases in computational complexity. An important share of such increases is due to the introduction of flexible Coding Tree structures, which best configuration is decided through exhaustive tests in a rate-distortion optimization (RDO) scheme. In this work, an early termination method for the decision of such structures was designed using classification trees obtained through Data Mining techniques. The classification trees were trained using intermediate encoding results from a set of video sequences and implemented in the encoder to avoid the full RDO-based decision. An average reduction of 37 % in the HEVC encoder computational complexity was achieved when using the designed classification trees, with a negligible cost of only 0.28 % in terms of Bjontegaard Delta-rate increase.

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Section: Introductionmentioning

confidence: 99%