Multi-Profile Ultra High Definition (Uhd) Avc And Hevc 4K Dash Datasets

We present a Multi-Profile Ultra High Definition (¥emph{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 real-time 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.<br> <br> 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.我们提出了一种多配置文件超高清（Ultra High Definition，UHD）动态自适应HTTP流媒体（Dynamic Adaptive Streaming over HTTP，DASH）数据集，该数据集涵盖AVC（H.264）与HEVC（H.265）两种编码格式的视频内容，素材源自三个广为人知的开源4K视频片段。本数据集的码率与分辨率覆盖范围跨度较大：4K分辨率下码率可达40Mbps，最低可至320×240分辨率下的235kbps，其码率设置与Netflix、YouTube、Amazon Prime等主流点播服务所采用的码率标准相当。我们提供该数据集以支持两类研究场景：实时测试床评估与基于跟踪数据的仿真实验。实时测试床内容可用于在物理硬件上评估DASH自适应传输技术，而基于跟踪数据的内容则可在ns-2、ns-3等仿真框架上开展模拟实验。此外，我们还提供了DASH处理前的原始MP4文件以及配套的DASH生成脚本，以便研究人员能够在本地自行创建自定义的DASH配置内容。此举可提升研究结果的可复现性，同时规避因互联网延迟、抖动与丢包所引发的播放卡顿问题。 本数据集的核心目标是提供多样化的视频内容，用于验证各类网络环境下的DASH服务质量体验（Quality of Experience，QoE）传输效果，涵盖受限蜂窝网络、卫星系统等低带宽场景，乃至未来的5G毫米波等高速网络架构。