Multi-profile ultra high definition (UHD) AVC and HEVC 4K DASH datasets
Multi-profile ultra high definition (UHD) AVC and HEVC 4K DASH datasets
复制标题
多配置超高清 (UHD) AVC 和 HEVC 4K DASH 数据集
DOI：
10.1145/3204949.3208130
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
C. Sreenan
中科院分区：
文献类型：
--
作者：
Jason J. Quinlan;C. Sreenan
在本文中，我们提出了一个多配置文件超高清 (UHD) DASH 数据集，由 AVC (H.264) 和 HEVC (H.265) 视频内容组成，由三个众所周知的开源 4K 视频剪辑生成。我们数据集的表示速率和分辨率范围从 4K 的 40Mbps 到 320x240 的 235kbps，与 Netflix、Youtube 和 Amazon Prime 等点播服务所使用的速率相当。我们为实时测试台评估和基于跟踪的模拟提供数据集。实时测试床内容提供了一种在物理硬件上评估 DASH 适应技术的方法，而我们基于跟踪的内容提供了对 ns-2 和 ns-3 等框架的模拟。我们还提供原始的预 DASH MP4 文件和相关的 DASH 生成脚本，以便为研究人员提供一种在本地创建自己的 DASH 配置文件内容的机制。这提高了结果的可重复性，并消除了因互联网延迟/抖动/丢失引起的重新缓冲问题。我们数据集的主要目标是提供验证网络上 DASH 体验质量 (QoE) 交付所需的广泛视频内容，范围从受限的蜂窝和卫星系统到未来的高速架构（例如拟议的 5G 毫米波技术）。
In this paper we present a Multi-Profile Ultra High Definition (UHD) DASH dataset composed of both AVC (H.264) and HEVC (H.265) video content, generated from three well known open-source 4K video clips. The representation rates and resolutions of our dataset range from 40Mbps in 4K down to 235kbps in 320x240, and are comparable to rates utilised by on demand services such as Netflix, Youtube and Amazon Prime. We provide our dataset for both realtime testbed evaluation and trace-based simulation. The real-time testbed content provides a means of evaluating DASH adaptation techniques on physical hardware, while our trace-based content offers simulation over frameworks such as ns-2 and ns-3. We also provide the original pre-DASH MP4 files and our associated DASH generation scripts, so as to provide researchers with a mechanism to create their own DASH profile content locally. Which improves the reproducibility of results and remove re-buffering issues caused by delay/jitter/losses in the Internet. The primary goal of our dataset is to provide the wide range of video content required for validating DASH Quality of Experience (QoE) delivery over networks, ranging from constrained cellular and satellite systems to future high speed architectures such as the proposed 5G mmwave technology.
DOI：
10.1109/tcsvt.2003.815165
发表时间：
2003-07-01
影响因子：
8.4
作者：
Wiegand, T;Sullivan, GJ;Luthra, A
通讯作者：
Luthra, A