Probability density estimation based on the parzen window for fast Cu size decision of HEVC intra coding
- Authors
- Lee, D.; Lee, J.; Jeong, Je chang
- Issue Date
- 2018
- Publisher
- International Workshop on Computer Science and Engineering (WCSE)
- Keywords
- Fast coding unit size decision; HEVC; Intra coding; Parzen window
- Citation
- Proceedings of 2018 the 8th International Workshop on Computer Science and Engineering, WCSE 2018, pp.691 - 696
- Indexed
- SCOPUS
- Journal Title
- Proceedings of 2018 the 8th International Workshop on Computer Science and Engineering, WCSE 2018
- Start Page
- 691
- End Page
- 696
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/5324
- ISSN
- 0000-0000
- Abstract
- The critical problem with the practical implementation of the high efficiency video coding (HEVC) encoder is the computational complexity. Complexity increases because of its novel techniques, such as quad-tree-based block partitioning. Thus, for years, researchers have used various methods and studied multiple algorithms to reduce the computing time of the HEVC encoder. However, a fast algorithm using the Parzen window has not yet been investigated. The Parzen window is a non-parametric method that estimates probability density using statistical samples and information. The proposed method is utilized to predetermine the size of a coding unit and statistical data for the Parzen window is updated periodically. Experimental results show that the proposed algorithm reduces encoding time by 51.96 % with a small Bjøntegaard-Delta bit-rate increase of 0.56 %. © Proceedings of 2018 the 8th International Workshop on Computer Science and Engineering.
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