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Fast coding tree structure decision for HEVC based on classification trees

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Abstract

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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Acknowledgments

The authors would like to acknowledge the valuable help of Giovanni Ávila, Eliézer Ribeiro, Douglas Corrêa and Iago Storch, who conducted the method robustness analysis presented in Sect. 5.2. The authors also acknowledge financial aid from FAPERGS-Brazil, CAPES-Brazil, CNPq-Brazil, and FCT-Portugal. This work was supported by FAPERGS-Brazil, CAPES-Brazil, CNPq-Brazil, the project FCT-CAPES (4.4.1.00 CAPES) (FCT/1909/27/2/2014/S), the R&D Unit UID/EEA/50008/2013 and the FCT grant SFRH/BSAB/113682/2015.

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Authors and Affiliations

  1. Group of Architectures and Integrated Circuits, Federal University of Pelotas, Pelotas, Brazil

    Guilherme Correa & Luciano Agostini

  2. Instituto de Telecomunicações, Lisbon, Portugal

    Pedro Assuncao & Luis A. da Silva Cruz

  3. Polytechnic Institute of Leiria, Leiria, Portugal

    Pedro Assuncao

  4. University of Coimbra, Coimbra, Portugal

    Luis A. da Silva Cruz

Authors
  1. Guilherme Correa
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  2. Pedro Assuncao
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  3. Luciano Agostini
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  4. Luis A. da Silva Cruz
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Correspondence to Guilherme Correa.

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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

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  • DOI: https://doi.org/10.1007/s10470-016-0719-z

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