Intra prediction with deep learning

Raz Birman, Yoram Segal, Avishay David-Malka, Ofer Hadar

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

3 Scopus citations


One fundamental component of video compression standards is Intra-Prediction. Intra-Prediction takes advantage of redundancy in the information of neighboring pixel values within video frames to predict blocks of pixels from their surrounding pixels and thus allowing to transmit the prediction errors instead of the pixel values themselves. The prediction errors are of smaller values than the pixels themselves, thus allowing to accomplish compression of the video stream. Prevalent standards take advantage of intra-frame pixel value dependencies to perform prediction at the encoder end and transfer only residual errors to the decoder. The standards use multiple "Modes", which are various linear combinations of pixels for prediction of their neighbors within image Macro-Blocks (MBs). In this research, we have used Deep Neural Networks (DNN) to perform the predictions. Using twelve Fully Connected Networks, we managed to reduce Mean Square Error (MSE) of the predicted error by up to 3 times as compared to standard modes prediction results. This substantial improvement comes at the expense of more extensive computations. However, these extra computations can be significantly mitigated by the use of dedicated Graphical Processing Units (GPUs).

Original languageEnglish
Title of host publicationApplications of Digital Image Processing XLI
EditorsAndrew G. Tescher
ISBN (Print)9781510620759
StatePublished - 2018
Externally publishedYes
EventApplications of Digital Image Processing XLI 2018 - San Diego, United States
Duration: 20 Aug 201823 Aug 2018

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


ConferenceApplications of Digital Image Processing XLI 2018
Country/TerritoryUnited States
CitySan Diego

Bibliographical note

Publisher Copyright:
© COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.


  • AV1
  • Deep Learning
  • H.264
  • HEVC
  • Intra Prediction
  • Intra-Prediction Modes


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