Content 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
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