Content Adaptive Fast CU Size Selection for HEVC Intra-Prediction

Authors :: Anil Fernando
Gosala Kulupana
Buddhiprabha Erabadda
Thanuja Mallikarachchi
Source :: ICCE, 2019 IEEE International Conference on Consumer Electronics (ICCE)
Publication Year :: 2019
Publisher :: IEEE, 2019.
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.

Subjects :: Support vector machine
Reduction (complexity)
Computer science
Encoding (memory)
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
02 engineering and technology
Content adaptive
Algorithm
Encoder
Selection (genetic algorithm)

ISBN :: 978-1-5386-7910-4
ISBNs :: 9781538679104
Database :: OpenAIRE
Journal :: 2019 IEEE International Conference on Consumer Electronics (ICCE)
Accession number :: edsair.doi.dedup.....51f52e9b96ab5d274e136a3de7be3679
Full Text :: https://doi.org/10.1109/icce.2019.8662119