Authentically Distorted Surveillance Videos Dataset

This Dataset contains "Pristine" and "Distorted" videos recorded in different places. The distortions with which the videos were recorded are: "Focus", "Exposure" and "Focus + Exposure". Those three with low (1), medium (2) and high (3) levels, forming a total of 10 conditions (including Pristine videos). In addition, distorted videos were exported in three different qualities according to the H.264 compression format used in the DIGIFORT software, which were: High Quality (HQ, H.264 at 100%), Medium Quality (MQ, H.264 at 75%) and Low Quality (LQ, H.264 at 50%).The recording of the videos was carried out in a semicontrolled space, with the appropriate environment conditions that facilitate the generation of authentically distorted videos. The "DIGIFORT" monitoring software is used to manage and record the videos. For the labeling of each video we use the "DarkLabel" labeling software. For the videos editing and processing the "MATLAB" computational tool is used. The dataset contains 160 "Pristine" videos, 1450 "Exposure" videos, 1409 "Focus" videos and 1450 "Focus + Exposure" videos for a total of 4476 videos. The recorded activities are: "Walking" (WL), "Leaving Package in a Public Place" (LPP), "Passing Out" (PO), "Person Pushing Person" (PPP), "Person Running" (PR), "Fighting in Group" (FG), "Robbery with Knife" (RK) and "Prowl" (PW). This Dataset is intended to evaluate "Visual Quality Assessment" (VQA) and "Visual Object Tracking" (VOT) algorithms.本数据集包含在不同场景下录制的"原始（Pristine）"与"失真"视频。视频所受失真类型包括"对焦（Focus）"、"曝光（Exposure）"以及"对焦+曝光（Focus + Exposure）"三类，每类失真又分为低（1）、中（2）、高（3）三个等级，加上原始视频共计10种录制条件。此外，根据DIGIFORT软件所采用的H.264压缩格式，失真视频会被导出为三种不同质量等级：高质量（HQ，H.264 100%码率）、中等质量（MQ，H.264 75%码率）与低质量（LQ，H.264 50%码率）。视频录制于半可控空间内，环境条件设置合理，可确保生成的失真视频具备真实性。本数据集采用DIGIFORT监控软件进行视频的管理与录制，使用DarkLabel标注软件完成单条视频的标注工作，并借助MATLAB计算工具进行视频的编辑与处理。数据集共包含4476条视频，其中原始（Pristine）视频160条，曝光（Exposure）失真视频1450条，对焦（Focus）失真视频1409条，对焦+曝光（Focus + Exposure）失真视频1450条。所录制的行为活动包括：行走（Walking, WL）、在公共场所放置包裹（Leaving Package in a Public Place, LPP）、晕倒（Passing Out, PO）、推搡他人（Person Pushing Person, PPP）、奔跑（Person Running, PR）、群体斗殴（Fighting in Group, FG）、持刀抢劫（Robbery with Knife, RK）以及潜行（Prowl, PW）。本数据集旨在用于视觉质量评估（Visual Quality Assessment, VQA）与视觉目标跟踪（Visual Object Tracking, VOT）算法的性能评估。