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Fast intra coding unit partition decision in H.266/FVC based on spatial features
- Source :
- Journal of Real-Time Image Processing. 17:493-510
- Publication Year :
- 2018
- Publisher :
- Springer Science and Business Media LLC, 2018.
-
Abstract
- With the development of technology, the requirements of hardware equipment and user expectations of visual enjoyment are increasingly gradually. The Joint Video Exploration Team (JVET) has established the latest video compression standard, Future Video Coding (FVC). FVC adopts QuadTree plus Binary Tree (QTBT) based Coding Unit (CU) structure, which not only removes the complex hierarchical structure of the CU, Prediction Unit (PU), and Transform Unit (TU) but also supports square and rectangular coding blocks based on the texture of the video content. Although the QTBT structure can provide superior coding performance, it significantly increases the encoding time, particularly in intra coding. Therefore, developing a fast intra CU partition decision algorithm is essential. In this paper, a fast CU partition decision algorithm in FVC intra coding based on spatial features is proposed. Different spatial features in the pixel domain are proposed in the binary tree and quadtree decision processes. Spatial features for the binary tree are employed for early skipping of the encoding process of CUs with binary tree depth and for early determination of binary tree split mode. Spatial features for the quadtree are employed for early splitting or termination of CUs with quadtree depth. Compared with JEM 5.0, the proposed method can save 23% encoding time on average with a slight increase of 0.62% in the Bjontegaard delta bitrate (BDBR).
- Subjects :
- Binary tree
Pixel
business.industry
Computer science
020207 software engineering
Pattern recognition
02 engineering and technology
Fast algorithm
Computer graphics
0202 electrical engineering, electronic engineering, information engineering
Quadtree
020201 artificial intelligence & image processing
Artificial intelligence
Decision process
business
Information Systems
Coding (social sciences)
Data compression
Subjects
Details
- ISSN :
- 18618219 and 18618200
- Volume :
- 17
- Database :
- OpenAIRE
- Journal :
- Journal of Real-Time Image Processing
- Accession number :
- edsair.doi...........a66a93c433b73df22142e44ba2c0b940
- Full Text :
- https://doi.org/10.1007/s11554-018-0794-8