HAVIC MED Novel 1 Test -- Videos, Metadata and Annotation
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<h3>Introduction</h3><br> <p>HAVIC MED Novel 1 Test -- Videos, Metadata and Annotation was developed by the Linguistic Data Consortium (LDC) and is comprised of approximately 3,800 hours of user-generated videos with annotation and metadata.</p><br> <p>To advance multimodal event detection and related technologies, LDC developed, in collaboration with <a href="https://www.nist.gov/">NIST</a> (the National Institute of Standards and Technology), a large, heterogeneous, annotated multimodal corpus for <a href="https://www.ldc.upenn.edu/collaborations/past-projects/havic">HAVIC</a> (the Heterogeneous Audio Visual Internet Collection) that was used in the NIST-sponsored <a href="https://www.nist.gov/itl/iad/mig/trecvid-multimedia-event-detection-evaluation-track">MED</a> (Multimedia Event Detection) task for several years. HAVIC MED Novel 1 Test is a subset of that corpus, specifically, a collection of videos, metadata and annotation for the HAVIC project originally released to support the <a href="https://www.nist.gov/itl/iad/mig/med-2015-evaluation">2015</a> Multimedia Event Detection tasks.</p><br> <h3>Data</h3><br> <p>The data consists of videos of various events (event videos) and videos completely unrelated to events (background videos) harvested by a large team of human annotators. Each event video was manually annotated with a set of judgments describing its event properties and other salient features. Background videos were labeled with topic and genre categories.</p><br> <p>All video files are in .mp4 format (h.264), with varying bit-rates and levels of audio fidelity and video resolution. Metadata and annotation for the videos are stored in a .tsv file.</p><br> <h3>Samples</h3><br> <p>Please view this <a href="desc/addenda/LDC2022V01.mp4">video sample</a>.</p><br> <h3>Updates</h3><br> <p>None at this time.</p><br> <h3>Additional Licensing Instructions</h3><br> <p>This 'members-only' corpus is available to current members. Contact <a href="mailto:ldc@ldc.upenn.edu">ldc@ldc.upenn.edu</a> for information about becoming a member.</p></br> Portions © 2011-2016 YouTube, LLC, © 2011-2016, 2022 Trustees of the University of Pennsylvania
<h3>引言</h3><br><p>HAVIC MED Novel 1测试集——视频、元数据与标注（HAVIC MED Novel 1 Test -- Videos, Metadata and Annotation）由语言数据联盟（Linguistic Data Consortium, LDC）开发，包含约3800小时的用户生成视频，且均附带标注与元数据。</p><br><p>为推动多模态事件检测及相关技术发展，LDC与<a href="https://www.nist.gov/">美国国家标准与技术研究院（National Institute of Standards and Technology, NIST）</a>合作，为<a href="https://www.ldc.upenn.edu/collaborations/past-projects/havic">异构音视频互联网集合（Heterogeneous Audio Visual Internet Collection, HAVIC）</a>构建了大型异构带标注多模态语料库。该语料库曾多年应用于NIST主办的<a href="https://www.nist.gov/itl/iad/mig/trecvid-multimedia-event-detection-evaluation-track">多媒体事件检测（Multimedia Event Detection, MED）</a>评测任务。HAVIC MED Novel 1测试集正是该语料库的子集，特指为支持<a href="https://www.nist.gov/itl/iad/mig/med-2015-evaluation">2015年</a>多媒体事件检测任务而首次发布的HAVIC项目相关视频、元数据与标注集合。</p><br><h3>数据概况</h3><br><p>本数据集包含由大量人工标注人员采集的各类事件视频（事件视频）及与事件完全无关的背景视频（背景视频）。每段事件视频均经人工标注，包含描述其事件属性与其他显著特征的多组判定结果；背景视频则标注了主题与体裁类别。</p><br><p>所有视频文件均采用.mp4格式（h.264编码），码率、音频保真度与视频分辨率各不相同。视频对应的元数据与标注存储于.tsv格式文件中。</p><br><h3>样例</h3><br><p>请查看此<a href="desc/addenda/LDC2022V01.mp4">视频样例</a>。</p><br><h3>更新记录</h3><br><p>暂无更新。</p><br><h3>额外授权说明</h3><br><p>本专属会员语料库仅对现有会员开放。如需了解会员注册相关信息，请联系<a href="mailto:ldc@ldc.upenn.edu">ldc@ldc.upenn.edu</a> 。</p></br><p>部分内容©2011-2016 YouTube有限责任公司，©2011-2016、2022 宾夕法尼亚大学理事会</p>
