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Content Adaptive Fast CU Size Selection for HEVC Intra-Prediction

Erabadda, Buddhiprabha, Mallikarachchi, Thanuja, Kulupana, Gosala and Fernando, Anil (2019) Content Adaptive Fast CU Size Selection for HEVC Intra-Prediction In: 2019 IEEE International Conference on Consumer Electronics (ICCE), 11-13 Jan 2019, Las Vegas, NV, USA,.

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Abstract

This paper proposes a content adaptive fast CU size selection algorithm for HEVC intra-prediction using weighted support vector machines. The proposed algorithm demonstrates an average encoding time reduction of 52.38% with 1.19% average BDBR increase compared to HM16.1 reference encoder.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Erabadda, Buddhiprabhae.harshani@surrey.ac.uk
Mallikarachchi, Thanujad.t.mallikarachchi@surrey.ac.uk
Kulupana, Gosalag.kulupana@surrey.ac.uk
Fernando, AnilW.Fernando@surrey.ac.uk
Date : 7 March 2019
Funders : European Commissions Horizon 2020
DOI : 10.1109/ICCE.2019.8662119
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 : Encoding; Support vector machines; Complexity theory; Adaptation models; Inference algorithms; Feature extraction; Signal processing algorithms
Related URLs :
Depositing User : Clive Harris
Date Deposited : 14 Jun 2019 12:21
Last Modified : 14 Jun 2019 12:50
URI: http://epubs.surrey.ac.uk/id/eprint/851998

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