Tariq Al Shoura, Ali Mollaahmadi Dehaghi, Reza Razavi, B. Far, Mohammad Moshirpour
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引用次数: 0
摘要
本文概述了我们开放的(软件工程实践和教育)SEPE 8K数据集，该数据集由40个不同的8K (8192 x 4320)视频序列和40个不同的8K (8192 x 5464)图像组成。视频序列以每秒29.97帧(FPS)的帧率捕获，并使用AVC/H编码成视频。264年,HEVC / H。和AV1编解码器，分辨率从8K到480p。图像、视频序列、编码视频以及与构成数据集的媒体相关的各种其他统计数据在GitHub上的repo上在线存储、发布和维护，用于非商业用途。本文采用多种方法对数据集的组成部分进行了描述和分析。据我们所知，该数据集是第一个发布真正的8K自然序列的数据集;因此，它对于处理多媒体的下一级应用程序(如视频质量评估、超分辨率、视频编码、视频压缩等等)非常重要。GitHub: https://github.com/talshoura/SEPE-8K-Dataset
SEPE Dataset: 8K Video Sequences and Images for Analysis and Development
This paper provides an overview of our open (Software Engineering Practice and Education) SEPE 8K dataset which is made of 40 different 8K (8192 x 4320) video sequences and 40 variant 8K (8192 x 5464) images. The video sequences were captured at a framerate of 29.97 frames per second (FPS) and had been encoded into videos using AVC/H.264, HEVC/H.265, and AV1 codecs at resolutions from 8K to 480p. The images, video sequences, encoded videos, and various other statistics related to the media that make the dataset are stored online, published, and maintained on the repo on GitHub for non-commercial use. In this paper, the dataset components are described and analyzed using various methods. The proposed dataset is - as far as we know - the first to publish true 8K natural sequences; thus, it is important for the next level of applications dealing with multimedia such as video quality assessment, super-resolution, video coding, video compression, and many more. GitHub: https://github.com/talshoura/SEPE-8K-Dataset
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