大规模屏幕内容数据集(LSCD)

大规模屏幕内容数据集(LSCD)是联想研究院提出的一种新型数据集，专注于屏幕内容视频压缩研究。该数据集包含714个源序列，旨在填补屏幕内容视频压缩领域的数据空白。LSCD数据集不仅规模大，且为无损数据，适用于多种视频压缩算法的研究与测试。数据集内容涵盖日常使用电脑时的各种场景，如文档阅读、视频播放、网页浏览等，旨在通过模拟真实使用场景，推动屏幕内容视频压缩技术的发展。

The Large-Scale Screen Content Dataset (LSCD) is a novel dataset proposed by Lenovo Research, focusing on screen content video compression research. This dataset contains 714 source sequences, aiming to fill the data gap in the field of screen content video compression. The LSCD dataset not only has a large scale but also consists of lossless data, making it suitable for the research and testing of various video compression algorithms. The content of the dataset covers various scenarios of daily computer use, such as document reading, video playback, web browsing, etc. It aims to promote the development of screen content video compression technology by simulating real usage scenarios.