摘要翻译：
AOM/AV1编解码器的编码器将输入视频序列视为分组在黄金帧(GF)组中的帧的连续。GF组的编码结构以给定的GF组大小固定。在当前的AOM/AV1编码器中，视频帧使用一个GF组内的分层、多层编码结构进行编码。已经观察到，如果GF组在其帧间呈现一致的静止，使用多层编码结构可能会导致更差的编码性能。提出了一种利用静止检测自适应设计GF组编码结构的新方法。因此，我们的新方法开发了一个自动静止检测方案，使用从每个GF组中提取的三个度量。然后将静止GF组与其他非静止GF组区分开来，并相应地使用不同的GF编码结构。实验结果表明，该方法具有较好的编码增益。
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英文标题：
《Multi-Reference Video Coding Using Stillness Detection》
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作者：
Di Chen, Zoe Liu, Yaowu Xu, Fengqing Zhu, Edward Delp
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最新提交年份：
2018
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分类信息：

一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Image and Video Processing        图像和视频处理
分类描述：Theory, algorithms, and architectures for the formation, capture, processing, communication, analysis, and display of images, video, and multidimensional signals in a wide variety of applications. Topics of interest include: mathematical, statistical, and perceptual image and video modeling and representation; linear and nonlinear filtering, de-blurring, enhancement, restoration, and reconstruction from degraded, low-resolution or tomographic data; lossless and lossy compression and coding; segmentation, alignment, and recognition; image rendering, visualization, and printing; computational imaging, including ultrasound, tomographic and magnetic resonance imaging; and image and video analysis, synthesis, storage, search and retrieval.
用于图像、视频和多维信号的形成、捕获、处理、通信、分析和显示的理论、算法和体系结构。感兴趣的主题包括：数学，统计，和感知图像和视频建模和表示；线性和非线性滤波、去模糊、增强、恢复和重建退化、低分辨率或层析数据；无损和有损压缩编码；分割、对齐和识别；图像渲染、可视化和打印；计算成像，包括超声、断层和磁共振成像；以及图像和视频的分析、合成、存储、搜索和检索。
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一级分类：Computer Science        计算机科学
二级分类：Multimedia        多媒体
分类描述：Roughly includes material in ACM Subject Class H.5.1.
大致包括ACM学科类H.5.1中的材料。
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英文摘要：
  Encoders of AOM/AV1 codec consider an input video sequence as succession of frames grouped in Golden-Frame (GF) groups. The coding structure of a GF group is fixed with a given GF group size. In the current AOM/AV1 encoder, video frames are coded using a hierarchical, multilayer coding structure within one GF group. It has been observed that the use of multilayer coding structure may result in worse coding performance if the GF group presents consistent stillness across its frames. This paper proposes a new approach that adaptively designs the Golden-Frame (GF) group coding structure through the use of stillness detection. Our new approach hence develops an automatic stillness detection scheme using three metrics extracted from each GF group. It then differentiates those GF groups of stillness from other non- still GF groups and uses different GF coding structures accordingly. Experimental result demonstrates a consistent coding gain using the new approach.
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PDF链接：
https://arxiv.org/pdf/1803.04061