Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | e30 |
| Fachzeitschrift | APSIPA Transactions on Signal and Information Processing |
| Jahrgang | 8 |
| Publikationsstatus | Veröffentlicht - 20 Nov. 2019 |
Abstract
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in: APSIPA Transactions on Signal and Information Processing, Jahrgang 8, 20.11.2019, S. e30.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - A Comprehensive Video Codec Comparison
AU - Laude, Thorsten
AU - Adhisantoso, Yeremia Gunawan
AU - Voges, Jan
AU - Munderloh, Marco
AU - Ostermann, Jörn
PY - 2019/11/20
Y1 - 2019/11/20
N2 - In this paper, we compare the video codecs AV1 (version 1.0.0-2242 from August 2019), HEVC (HM and x265), AVC (x264), the exploration software JEM which is based on HEVC, and the VVC (successor of HEVC) test model VTM (version 4.0 from February 2019) under two fair and balanced configurations: All Intra for the assessment of intra coding and Maximum Coding Efficiency with all codecs being tuned for their best coding efficiency settings. VTM achieves the highest coding efficiency in both configurations, followed by JEM and AV1. The worst coding efficiency is achieved by x264 and x265, even in the placebo preset for highest coding efficiency. AV1 gained a lot in terms of coding efficiency compared to previous versions and now outperforms HM by 24 BD-Rate gains. VTM gains 5 over AV1 in terms of BD-Rates. By reporting separate numbers for JVET and AOM test sequences, it is ensured that no bias in the test sequences exists. When comparing only intra coding tools, it is observed that the complexity increases exponentially for linearly increasing coding efficiency.
AB - In this paper, we compare the video codecs AV1 (version 1.0.0-2242 from August 2019), HEVC (HM and x265), AVC (x264), the exploration software JEM which is based on HEVC, and the VVC (successor of HEVC) test model VTM (version 4.0 from February 2019) under two fair and balanced configurations: All Intra for the assessment of intra coding and Maximum Coding Efficiency with all codecs being tuned for their best coding efficiency settings. VTM achieves the highest coding efficiency in both configurations, followed by JEM and AV1. The worst coding efficiency is achieved by x264 and x265, even in the placebo preset for highest coding efficiency. AV1 gained a lot in terms of coding efficiency compared to previous versions and now outperforms HM by 24 BD-Rate gains. VTM gains 5 over AV1 in terms of BD-Rates. By reporting separate numbers for JVET and AOM test sequences, it is ensured that no bias in the test sequences exists. When comparing only intra coding tools, it is observed that the complexity increases exponentially for linearly increasing coding efficiency.
U2 - 10.15488/10970
DO - 10.15488/10970
M3 - Article
VL - 8
SP - e30
JO - APSIPA Transactions on Signal and Information Processing
JF - APSIPA Transactions on Signal and Information Processing
ER -