In this paper, we introduce VCSL (Video Copy Segment Localization), a new
comprehensive segment-level annotated video copy dataset. Compared with
existing copy detection datasets restricted by either video-level annotation or
small-scale, VCSL not only has two orders of magnitude more segment-level
labelled data, with 160k realistic video copy pairs containing more than 280k
localized copied segment pairs, but also covers a variety of video categories
and a wide range of video duration. All the copied segments inside each
collected video pair are manually extracted and accompanied by precisely
annotated starting and ending timestamps. Alongside the dataset, we also
propose a novel evaluation protocol that better measures the prediction
accuracy of copy overlapping segments between a video pair and shows improved
adaptability in different scenarios. By benchmarking several baseline and
state-of-the-art segment-level video copy detection methods with the proposed
dataset and evaluation metric, we provide a comprehensive analysis that
uncovers the strengths and weaknesses of current approaches, hoping to open up
promising directions for future works. The VCSL dataset, metric and benchmark
codes are all publicly available at this https URL

本研究介绍 VCSL（Video Copy Segment Localization），一种新的综合分段注释视频副本数据集，包含两个数量级更多的、真实的 160k 视频拷贝对、280k 以上的本地化复制段对，并提出了一种新的评估协议，在不同场景中表现出更好的适应性。通过采用该数据集和新的评估指标来评估几种基准和最先进的分段级别视频副本检测方法，我们提供了全面的分析，揭示了当前方法的优点和缺点，旨在开拓未来工作的有前途的方向。