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Content Adaptive Fast CU Size Selection for HEVC Intra-Prediction

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conference contribution
posted on 04.04.2022, 10:57 authored by Buddhiprabha Erabadda, Thanuja MallikarachchiThanuja Mallikarachchi, Gosala Kulupana, Anil Fernando
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

History

Presented at

Paper given at 37th IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE) January 11-13, 2019, Las Vegas, USA, available at https://doi.org/10.1109/ICCE.2019.8662119

Link to Conference Website

Published in

2019 IEEE International Conference on Consumer Electronics (ICCE)

Publisher

IEEE

Version

AM (Accepted Manuscript)

Citation

Erabadda, B., Mallikarachchi, T., Kulupana, G. and Fernando, A., 2019, January. Content Adaptive Fast CU Size Selection for HEVC Intra-Prediction. In 2019 IEEE International Conference on Consumer Electronics (ICCE) (pp. 1-2). IEEE.

Electronic ISSN

2158-4001

ISBN

978-1-5386-7910-4

Cardiff Met Affiliation

  • Cardiff School of Technologies

Cardiff Met Authors

Thanuja Mallikarachchi

Copyright Holder

© The Publisher

Publisher Rights Statement

© 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

Language

en