Abstract | ||
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High Efficiency Video Coding (HEVC) has brought significant improvement to video compression in terms of coding performance and subjective quality. However, it is computationally more complex than H.264/Advanced Video Coding (AVC) and, hence, adaptation of HEVC to real-time video services has not been promising. In order to reduce the computational cost, we propose a fast mode decision method that is based on the adaptive ordering of modes. Our experimental results show that the proposed method reduces the total encoding time by 47.27%–60.73% and 47.65%–61.31%, with negligible degradation of coding performance, which is a Bjøntegaard delta rate increment of 0.35%–1.04% and 0.64%–1.80% under random-access configuration and low-delay configuration, respectively, compared with HEVC test model 12.1 with fast mode off. |
Year | DOI | Venue |
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2016 | 10.1109/TCSVT.2015.2473303 | IEEE Trans. Circuits Syst. Video Techn. |
Keywords | Field | DocType |
Encoding,Video coding,Correlation,Transforms,Computational complexity,Statistical analysis,Computational efficiency | Computer vision,Coding tree unit,Context-adaptive variable-length coding,Computer science,Coding (social sciences),Artificial intelligence,Data compression,Scalable Video Coding,Encoding (memory),Computational complexity theory,Context-adaptive binary arithmetic coding | Journal |
Volume | Issue | ISSN |
26 | 10 | 1051-8215 |
Citations | PageRank | References |
11 | 0.49 | 25 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Soon-heung Jung | 1 | 54 | 5.17 |
Hyun Wook Park | 2 | 495 | 54.79 |