Proceedings of the 24th ACM Workshop on Packet Video最新文献

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Streaming 360° videos to head-mounted virtual reality using DASH over QUIC transport protocol 流媒体360°视频头戴式虚拟现实使用DASH在QUIC传输协议
Proceedings of the 24th ACM Workshop on Packet Video Pub Date : 2019-06-21 DOI: 10.1145/3304114.3325616
Shou-Cheng Yen, Ching-Ling Fan, Cheng-Hsin Hsu
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引用次数: 21
Context-adaptive recursive-filtering-based intra prediction in video coding 基于上下文自适应递归滤波的视频编码内预测
Proceedings of the 24th ACM Workshop on Packet Video Pub Date : 2019-06-21 DOI: 10.1145/3304114.3325615
Hui Su, A. Bokov, Urvang Joshi, D. Mukherjee, Jingning Han, Yue Chen
{"title":"Context-adaptive recursive-filtering-based intra prediction in video coding","authors":"Hui Su, A. Bokov, Urvang Joshi, D. Mukherjee, Jingning Han, Yue Chen","doi":"10.1145/3304114.3325615","DOIUrl":"https://doi.org/10.1145/3304114.3325615","url":null,"abstract":"Conventional intra prediction modes in image and video coding generate an estimation of a target block by copying or projecting its causal neighboring pixels along certain angles. Such simple directional model does not work well for complex image structures. A set of context-adaptive intra prediction modes based on recursive filtering is proposed in this paper. The prediction of a block is generated by applying linear filtering over certain previously reconstructed or predicted pixels in the causal neighborhood of each pixel recursively. The filter coefficients are estimated with least squares optimization using previously reconstructed pixels in the above and/or left regions of the current block. The configurations for the filters such as filter taps, position of reference pixels, as well as the location and shape of the training regions are all flexible, making the proposed prediction modes highly adaptive to local image texture contexts. A data-driven approach is used to select the optimal subset of all the possible filter configurations while retaining as much coding gains as possible. The proposed approach is tested on the state-of-the-art AV1 video coding standard. AV1 supports sophisticated intra prediction tools such as recursive filtering, quadratic interpolation filtering, intra block-copy, and the palette mode. Experimental results show that the context-adaptive recursive-filtering-based intra prediction modes can achieve significant improvement in compression efficiency.","PeriodicalId":248818,"journal":{"name":"Proceedings of the 24th ACM Workshop on Packet Video","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122178572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Proceedings of the 24th ACM Workshop on Packet Video 第24届ACM分组视频研讨会论文集
Proceedings of the 24th ACM Workshop on Packet Video Pub Date : 1900-01-01 DOI: 10.1145/3304114
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引用次数: 0
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