舞蹈视频表达语义的建模与标注
Modeling and Annotating the Expressive Semantics of Dance Videos
摘要：
舞蹈视频很有趣，语义密集。与此同时，与所有其他类型（如体育，新闻和电影视频）相比，它们是复杂的视频类型。事实上，舞蹈视频是全球研究人员较少探索的视频。舞蹈视频具有丰富的语义，如宏观特征和微观特征，可以分为几种类型。因此，舞蹈视频表达语义的概念建模是非常关键和复杂的。本文提出了一个通用的舞蹈视频语义模型（DVSM），以表示在不同的粒度级别的舞蹈视频的语义，所识别的组成部分的陪同歌曲。该模型结合了舞蹈视频的句法和语义特征，并引入了一种新的实体类型Agent来描述舞蹈视频的微观特征。该模型的实例表示为图形。该模型实现为一个工具，使用J2SE和JMF注释的舞蹈视频的宏观和微观特征。最后通过实例和评价结果验证了该模型的有效性。关键词：智能体，舞蹈视频，宏特征，微特征，视频标注，视频语义。
英文摘要：
Dance videos are interesting and semantics-intensive. At the same time, they are the complex type of videos compared to all other types such as sports, news and movie videos. In fact, dance video is the one which is less explored by the researchers across the globe. Dance videos exhibit rich semantics such as macro features and micro features and can be classified into several types. Hence, the conceptual modeling of the expressive semantics of the dance videos is very crucial and complex. This paper presents a generic Dance Video Semantics Model (DVSM) in order to represent the semantics of the dance videos at different granularity levels, identified by the components of the accompanying song. This model incorporates both syntactic and semantic features of the videos and introduces a new entity type called, Agent, to specify the micro features of the dance videos. The instantiations of the model are expressed as graphs. The model is implemented as a tool using J2SE and JMF to annotate the macro and micro features of the dance videos. Finally examples and evaluation results are provided to depict the effectiveness of the proposed dance video model. Keywords: Agents, Dance videos, Macro features, Micro features, Video annotation, Video semantics.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
