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Publicação
Fast coding tree structure decision for HEVC based on classification trees
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Orientador(es)
Resumo(s)
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.
Descrição
Palavras-chave
Early termination Coding trees Data mining Classification trees Computational complexity High efficiency video coding (HEVC)
Contexto Educativo
Citação
Correa, G., Assuncao, P., Agostini, L. et al. Fast coding tree structure decision for HEVC based on classification trees. Analog Integr Circ Sig Process 87, 129–139 (2016). https://doi.org/10.1007/s10470-016-0719-z
Editora
Springer Science and Business Media LLC