Content Adaptive Fast CU Size Selection for HEVC Intra-Prediction

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Author
Erabadda, B.
Mallikarachchi, Thanuja
Kulupana, G.
Fernando, A.
Date
2019-03-07
Acceptance date
2018
Type
Conference paper
acceptedVersion
Publisher
IEEE
ISSN
2158-4001
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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
Journal/conference proceeding
IEEE International Conference on Consumer Electronics (ICCE);
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.
URI
http://hdl.handle.net/10369/10373
DOI
https://doi.org/10.1109/ICCE.2019.8662119
Description
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
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