{"title":"Geometry-based Partitioning for Predictive Video Coding with Transform Adaptation","authors":"Max Bläser, J. Schneider, Johannes Sauer, M. Wien","doi":"10.1109/PCS.2018.8456238","DOIUrl":null,"url":null,"abstract":"Rectangular block partitioning as it is used in state of the art video codecs such as HEVC can produce visually displeasing artifacts at low bitrates. This effect is particularly noticeable at moving object boundaries. This contribution presents a comprehensive geometry-based block partitioning framework in a post-HEVC codec for motion compensated prediction, intra-prediction and transform coding as a solution. The method is evaluated on the set of sequences defined by the Joint Call for Proposals on Video Compression with Capabilities beyond HEVC [1]. Our contribution aims at visually improving the quality of object boundaries and provides an objective BD-rate gain of 0.82% on average compared to the reference Joint Video Exploration Team (JVET) test model (JEM 7.0).","PeriodicalId":433667,"journal":{"name":"2018 Picture Coding Symposium (PCS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Picture Coding Symposium (PCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PCS.2018.8456238","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Rectangular block partitioning as it is used in state of the art video codecs such as HEVC can produce visually displeasing artifacts at low bitrates. This effect is particularly noticeable at moving object boundaries. This contribution presents a comprehensive geometry-based block partitioning framework in a post-HEVC codec for motion compensated prediction, intra-prediction and transform coding as a solution. The method is evaluated on the set of sequences defined by the Joint Call for Proposals on Video Compression with Capabilities beyond HEVC [1]. Our contribution aims at visually improving the quality of object boundaries and provides an objective BD-rate gain of 0.82% on average compared to the reference Joint Video Exploration Team (JVET) test model (JEM 7.0).
矩形块分割，因为它被用于最先进的视频编解码器，如HEVC，可以在低比特率下产生视觉上不愉快的工件。这种效果在移动物体边界时尤其明显。这一贡献提出了一个全面的基于几何的块划分框架，用于后hevc编解码器中的运动补偿预测，内部预测和转换编码作为解决方案。该方法在具有超越HEVC功能的视频压缩联合提案(Joint Call for Proposals on Video Compression)[1]定义的序列集上进行评估。我们的贡献旨在从视觉上提高目标边界的质量，与参考的联合视频勘探小组(JVET)测试模型(JEM 7.0)相比，提供了平均0.82%的客观bd率增益。
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