Content Adaptive Fast CU Size Selection for HEVCIntra-Prediction.pdf (163.59 kB)
Download fileContent Adaptive Fast CU Size Selection for HEVC Intra-Prediction
conference contribution
posted on 2022-04-04, 10:57 authored by Buddhiprabha Erabadda, Thanuja MallikarachchiThanuja Mallikarachchi, Gosala Kulupana, Anil FernandoThis 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.2019.8662119Link to Conference Website
Published in
2019 IEEE International Conference on Consumer Electronics (ICCE)Publisher
IEEEVersion
- 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
2158-4001ISBN
978-1-5386-7910-4Cardiff Met Affiliation
- Cardiff School of Technologies
Cardiff Met Authors
Thanuja MallikarachchiCopyright 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 worksLanguage
- en
