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| Table of contents, book: Computer Aided Systems Theory – EUROCAST 2015 - Chapter: "Complexity Analysis of HEVC Decoding for Multi-core Platforms", pp. 502–509 | 306.48 KB | Adobe PDF |
Orientador(es)
Resumo(s)
The High Efficiency Video Coding (HEVC) is the latest standard, providing the same quality as its predecessor H.264/AVC at about half of the bit-rate. An increasing demand for higher quality and better resolutions in mobile applications require the use of more efficient video codecs, but the high computational complexity of HEVC poses problems to resource-constrained devices and portable equipment with limited batery-life. Despite the fact that video coding complexity is much higher than decoding, in most user devices, video decoding is used more often than encoding, thus particular attention must also be given to HEVC decoders. This paper presents an experimental study and complexity analysis of the HEVC decoder’s behaviour when decoding 4k ultra high definition (UHD) and HD video sequences on multi-core platforms, such as those of the most recent mobile devices. It is shown that when tile partitioning is used, different tiles have different decoding complexities. These findings are relevant for devising dynamic tile partitioning schemes capable of achieving load balancing in video decoders running on multi-core platforms.
Descrição
15th International Conference, Las Palmas de Gran Canaria, Spain, February 8-13, 2015, Revised Selected Papers
Part of the book series: Lecture Notes in Computer Science (LNTCS,volume 9520) (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Part of the book series: Lecture Notes in Computer Science (LNTCS,volume 9520) (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Palavras-chave
HEVC complexity Video complexitymap Video decoding
Contexto Educativo
Citação
Cordeiro, P.J., Assuncao, P., Gómez-Pulido, J.A. (2015). Complexity Analysis of HEVC Decoding for Multi-core Platforms. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2015. EUROCAST 2015. Lecture Notes in Computer Science(), vol 9520. Springer, Cham. https://doi.org/10.1007/978-3-319-27340-2_63
Editora
Springer Nature
Coleções
Licença CC
Sem licença CC
