Abstract | ||
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In HEVC, bit-allocation model is based on the hierarchical control, which can divide video sequence into three levels: Group of Picture (GOP), frame and Coding Tree Unit (CTU). However, the fixed size of GOP fails to consider the influence of scene change in the video coding process, which may decrease the compression efficiency and reconstructed quality. In this paper, the main idea of the proposed algorithm is to detect the scene change efficiently, and then apply it in the rate control algorithm of HEVC to decrease the BD-rate and save the coding time. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1109/DCC.2019.00112 | 2019 Data Compression Conference (DCC) |
Keywords | Field | DocType |
HEVC,Rate control algorithm,Scene change | Computer vision,Control algorithm,Change detection,Coding tree unit,Computer science,Coding (social sciences),Artificial intelligence | Conference |
ISSN | ISBN | Citations |
1068-0314 | 978-1-7281-0658-8 | 0 |
PageRank | References | Authors |
0.34 | 1 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jia Qin | 1 | 1 | 0.69 |
Bai Huihui | 2 | 243 | 41.01 |
Yao Zhao | 3 | 1926 | 219.11 |