Content Adaptive Fast CU Size Selection for HEVC Intra-Prediction

Buddhiprabha Erabadda; Thanuja Mallikarachchi; Gosala Kulupana; Anil Fernando

doi:10.1109/ICCE.2019.8662119

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Content Adaptive Fast CU Size Selection for HEVC Intra-Prediction

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Content Adaptive Fast CU Size Selection for HEVC Intra-Prediction

Buddhiprabha Erabadda, Thanuja Mallikarachchi, Gosala Kulupana and Anil Fernando

2019 IEEE International Conference on Consumer Electronics (ICCE), pp.1-2

Institute of Electrical and Electronics Engineers (IEEE)

2019 IEEE International Conference on Consumer Electronics (ICCE) (Las Vegas, NV, USA,, 11/01/2019 - 13/01/2019)

07/03/2019

DOI: https://doi.org/10.1109/ICCE.2019.8662119

Abstract

Encoding; Support vector machines; Complexity theory; Adaptation models; Inference algorithms; Feature extraction; Signal processing algorithms

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.

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Title: Content Adaptive Fast CU Size Selection for HEVC Intra-Prediction
Creators: Buddhiprabha Erabadda
Thanuja Mallikarachchi
Gosala Kulupana
Anil Fernando
Publication Details: 2019 IEEE International Conference on Consumer Electronics (ICCE), pp.1-2
Conference: 2019 IEEE International Conference on Consumer Electronics (ICCE) (Las Vegas, NV, USA,, 11/01/2019 - 13/01/2019)
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date published: 07/03/2019
Date submitted: 14/06/2019
Grant note: Funder: European Commissions Horizon 2020 | Grant Title: CONTENT4ALL project | Grant ID: 762021
Identifiers: 99516334002346
Copyright: © 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.
Academic Unit: School of Computer Science and Electronic Engineering
Resource Type: Conference presentation

Content Adaptive Fast CU Size Selection for HEVC Intra-Prediction

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