A Comparison of JEM and AV1 with HEVC: Coding Tools, Coding Efficiency and Complexity

Laude, Thorsten; Adhisantoso, Yeremia Gunawan; Voges, Jan; Munderloh, Marco; Östermann, Jörn

doi:10.1109/pcs.2018.8456291

Cited by 24 publications

(13 citation statements)

References 3 publications

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“…It is worth keeping this insight in mind when interpreting codec comparisons for which x265 is used as HEVC implementation, especially if a less efficient preset than placebo is configured. AV1 gained a lot in terms of coding efficiency compared to previous versions like in [24] and is now superior to the finalized codecs of this comparison (HM, x264, x265) for all configurations. Furthermore, AV1 only falls shortly behind the upcoming VVC standard.…”

Section: C O D I N G E F F I C I E N C Ymentioning

confidence: 77%

A Comprehensive Video Codec Comparison

Laude

Adhisantoso

Voges

et al. 2019

SIP

Self Cite

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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.

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Section: C O D I N G E F F I C I E N C Ymentioning

confidence: 77%

A Comprehensive Video Codec Comparison

Laude

Adhisantoso

Voges

et al. 2019

SIP

Self Cite

View full text Add to dashboard Cite

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“…[10][11][12]. Secondly, as constant quality mode is usually used for HEVC and VVC codecs in the comparison, to match the setting, libaom needs to choose such mode as well by specifying end-usage = q and passing in the QP (cq-level), rather than either using libaom in vbr mode to match the rates produced by other codecs [13], or manually restraining libaom's QP by setting min-q and max-q [14]. Thirdly, in tests enforcing a 1s intra period, as the default configurations of HM and VTM use open-loop GOP structure, to match it, forward key frames need to be manually enabled for libaom by specifying enable-fwd-kf = 1, otherwise [10][11][12]14], libaom encodes in closed gop structure losing the benefit of cross gop referencing at every intra frame.…”

Section: Introductionmentioning

confidence: 99%

An Overview of Coding Tools in AV1: the First Video Codec from the Alliance for Open Media

Chen

Mukherjee

Han

et al. 2020

SIP

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In 2018, the Alliance for Open Media (AOMedia) finalized its first video compression format AV1, which is jointly developed by the industry consortium of leading video technology companies. The main goal of AV1 is to provide an open source and royalty-free video coding format that substantially outperforms state-of-the-art codecs available on the market in compression efficiency while remaining practical decoding complexity as well as being optimized for hardware feasibility and scalability on modern devices. To give detailed insights into how the targeted performance and feasibility is realized, this paper provides a technical overview of key coding techniques in AV1. Besides, the coding performance gains are validated by video compression tests performed with the libaom AV1 encoder against the libvpx VP9 encoder. Preliminary comparison with two leading HEVC encoders, x265 and HM, and the reference software of VVC is also conducted on AOM's common test set and an open 4k set.

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“…Concurrently, the main video codecs are High Efficiency Video Coding (HEVC, or H.265) that are developed by the Joint Collaborative Team on Video Coding (JCT-VC) Group, and AV1 that is developed by Alliance for Open Media (AOMedia) [7]. Nevertheless, video codec is faced with several challenges.…”

Section: Introductionmentioning

confidence: 99%

Low-Complexity and Hardware-Friendly H.265/HEVC Encoder for Vehicular Ad-Hoc Networks

Jiang

Feng

Song

et al. 2019

Sensors

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Real-time video streaming over vehicular ad-hoc networks (VANETs) has been considered as a critical challenge for road safety applications. The purpose of this paper is to reduce the computation complexity of high efficiency video coding (HEVC) encoder for VANETs. Based on a novel spatiotemporal neighborhood set, firstly the coding tree unit depth decision algorithm is presented by controlling the depth search range. Secondly, a Bayesian classifier is used for the prediction unit decision for inter-prediction, and prior probability value is calculated by Gibbs Random Field model. Simulation results show that the overall algorithm can significantly reduce encoding time with a reasonably low loss in encoding efficiency. Compared to HEVC reference software HM16.0, the encoding time is reduced by up to 63.96%, while the Bjontegaard delta bit-rate is increased by only 0.76–0.80% on average. Moreover, the proposed HEVC encoder is low-complexity and hardware-friendly for video codecs that reside on mobile vehicles for VANETs.

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A Comparison of JEM and AV1 with HEVC: Coding Tools, Coding Efficiency and Complexity

Cited by 24 publications

References 3 publications

A Comprehensive Video Codec Comparison

A Comprehensive Video Codec Comparison

An Overview of Coding Tools in AV1: the First Video Codec from the Alliance for Open Media

Low-Complexity and Hardware-Friendly H.265/HEVC Encoder for Vehicular Ad-Hoc Networks

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