CNN Oriented Complexity Reduction Of VVC Intra Encoder

A. Tissier, W. Hamidouche, J. Vanne, F. Galpin, D. Menard

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2 Citations (Scopus)
100 Downloads (Pure)


The Joint Video Expert Team (JVET) is currently developing the next-generation MPEG/ITU video coding standard called Versatile Video Coding (VVC) and their ultimate goal is to double the coding efficiency over the state-of-the-art HEVC standard.The latest version of the VVC reference encoder, VTM6.1, is able to improve the intra coding efficiency by 24 % over the HEVC reference encoder HM16.20, but at the expense of 27 times the encoding time. The complexity overhead of VVC primarily stems from its novel block partitioning scheme that complements Quad-Tree (QT) split with Multi-Type Tree (MTT) partitioning in order to better fit the local variations of the video signal. This work reduces the block partitioning complexity of VTM6.1 through the use of Convolutional Neural Networks (CNNs). For each 64 × 64 Coding Unit (CU), the CNN is trained to predict a probability vector that speeds up coding block partitioning in encoding. Our solution is shown to decrease the intra encoding complexity of VTM6.1 by 51.5% with a bitrate increase of only 1.45%.
Original languageEnglish
Title of host publication2020 IEEE International Conference on Image Processing (ICIP)
Number of pages5
ISBN (Print)9781728163956
Publication statusPublished - Oct 2020
Publication typeA4 Article in conference proceedings
EventIEEE International Conference on Image Processing - United Arab Emirates, Abu Dhabi, United Arab Emirates
Duration: 25 Oct 202028 Oct 2020

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880


ConferenceIEEE International Conference on Image Processing
Abbreviated titleICIP 2020
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Internet address

Publication forum classification

  • Publication forum level 1


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