论文标题
AVECL-UMONS数据库用于视听事件分类和本地化
AVECL-UMONS database for audio-visual event classification and localization
论文作者
论文摘要
我们在办公环境中介绍了用于视听事件分类和本地化的AVECL-UMONS数据集。视听数据集由在两个不同房间中的几个现实位置记录的11个事件类组成。根据序列中的事件数量记录两种类型的序列。该数据集包含2662个Unilabel序列和2724个多标签序列，总计为5.24小时。该数据集可在线公开访问：https：//zenodo.org/record/3965492#.x09wsobgrci。
We introduce the AVECL-UMons dataset for audio-visual event classification and localization in the context of office environments. The audio-visual dataset is composed of 11 event classes recorded at several realistic positions in two different rooms. Two types of sequences are recorded according to the number of events in the sequence. The dataset comprises 2662 unilabel sequences and 2724 multilabel sequences corresponding to a total of 5.24 hours. The dataset is publicly accessible online : https://zenodo.org/record/3965492#.X09wsobgrCI.
