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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
Metadata
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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
Rights
© 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
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