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Machine Learning Approaches for Intra-Prediction in HEVC

Erabadda, Buddhiprabha, Mallikarachchi, Thanuja, Kulupana, Gosala and Fernando, Anil (2018) Machine Learning Approaches for Intra-Prediction in HEVC In: 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE), 09-12 Oct 2018, Nara, Japan.

Machine Learning Approaches for Intra-Prediction in HEVC.pdf - Accepted version Manuscript

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The use of machine learning techniques for encoding complexity reduction in recent video coding standards such as High Efficiency Video Coding (HEVC) has received prominent attention in the recent past. Yet, the dynamically changing nature of the video contents makes it evermore challenging to use rigid traditional inference models for predicting the encoding decisions for a given content. In this context, this paper investigates the resulting implications on the coding efficiency and the encoding complexity, when using offline trained and online trained machine-learning models for coding unit size selection in the HEVC intra-prediction. The experimental results demonstrate that the ground truth encoding statistics of the content being encoded, is crucial to the efficient encoding decision prediction when using machine learning based prediction models.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Date : 13 December 2018
Funders : European Commissions Horizon 2020
DOI : 10.1109/GCCE.2018.8574648
Grant Title : CONTENT4ALL project
Copyright Disclaimer : © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords : HEVC; Intra-prediction; Machine learning; Support vector machines; Coding unit; Encoding; Support vector machines; Complexity theory; Machine learning; Predictive models; Data models; Training
Related URLs :
Depositing User : Clive Harris
Date Deposited : 14 Jun 2019 12:34
Last Modified : 14 Jun 2019 12:50

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