论文标题
Trecvid 2019：一个评估活动，用于基准视频活动检测，视频字幕和匹配以及视频搜索和检索
TRECVID 2019: An Evaluation Campaign to Benchmark Video Activity Detection, Video Captioning and Matching, and Video Search & Retrieval
论文作者
论文摘要
TREC视频检索评估（TRECVID）2019是TREC风格的视频分析和检索评估，其目的仍然是通过基于公开的，基于指标的评估来促进基于内容的剥削和基于内容的剥削的进展以及从数字视频中获取信息的进展。在过去的十九年中，这项努力对系统如何有效地完成此类处理以及如何可靠地基于其性能进行了更好的了解。 Trecvid由NIST（国家标准技术研究所）和其他美国政府机构资助。此外，全世界的许多组织和个人都贡献了大量的时间和精力。 Trecvid 2019代表了Trecvid 2018的四个任务。总共，来自全球各个研究组织的27个团队完成了以下四个任务中的一个或多个任务：1。D-HOC视频搜索（AVS）2。示例搜索（INS）3。扩展的（ACTEV）（ACTEV）4。进行了介绍（VTT）的介绍（VTT）进行了介绍，以评估框架，并介绍了该框架，并介绍了该框架和任务。
The TREC Video Retrieval Evaluation (TRECVID) 2019 was a TREC-style video analysis and retrieval evaluation, the goal of which remains to promote progress in research and development of content-based exploitation and retrieval of information from digital video via open, metrics-based evaluation. Over the last nineteen years this effort has yielded a better understanding of how systems can effectively accomplish such processing and how one can reliably benchmark their performance. TRECVID has been funded by NIST (National Institute of Standards and Technology) and other US government agencies. In addition, many organizations and individuals worldwide contribute significant time and effort. TRECVID 2019 represented a continuation of four tasks from TRECVID 2018. In total, 27 teams from various research organizations worldwide completed one or more of the following four tasks: 1. Ad-hoc Video Search (AVS) 2. Instance Search (INS) 3. Activities in Extended Video (ActEV) 4. Video to Text Description (VTT) This paper is an introduction to the evaluation framework, tasks, data, and measures used in the workshop.
