Ontology-Based Video Annotation in Multimedia Entertainment

A. Carbonaro, R. Ferrini
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引用次数: 16

Abstract

In this paper we propose ontology-based video content annotation and recommendation tools. Our system is able to perform automatic shot detection and supports users during the annotation phase in a collaborative framework by providing suggestions on the basis of actual user needs as well as modifiable user behaviour and interests. Annotations are based on domain ontologies expressing hierarchical links between entities and guarantying interoperability of resources. Examples to verify the effectiveness of both the shot detection and the frame matching modules are analyzed.
多媒体娱乐中基于本体的视频标注
本文提出了基于本体的视频内容标注和推荐工具。我们的系统能够执行自动镜头检测,并在协作框架中支持用户在注释阶段,根据用户的实际需求以及可修改的用户行为和兴趣提供建议。注释基于领域本体,表示实体之间的层次链接,并保证资源的互操作性。通过实例验证了镜头检测和帧匹配模块的有效性。
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