面向高效浏览和搜索网络视频的结构和语义元数据框架

Hyun-Hee Kim
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引用次数: 0

摘要

本研究提出了一个结构和语义框架,用于描述网络视频中的事件和片段,该框架允许基于内容的搜索和动态视频摘要。尽管MPEG-7支持多媒体结构和语义描述,但目前还不适合描述Web上的多媒体内容。因此,考虑到Web环境而设计的元数据框架提供了一种全面而简单的方法来描述Web视频内容。准确地说,元数据框架是基于Chatman的叙事理论、PBCore、MPEG-7、TV-Anytime三种多媒体元数据格式和社会元数据构建的。它包括事件信息、事件组信息、片段信息和视频(节目)信息。本文还讨论了如何从网络视频中自动提取元数据元素,包括结构元数据元素和语义元数据元素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Toward a Structural and Semantic Metadata Framework for Efficient Browsing and Searching of Web Videos
This study proposed a structural and semantic framework for the characterization of events and segments in Web videos that permits content-based searches and dynamic video summarization. Although MPEG-7 supports multimedia structural and semantic descriptions, it is not currently suitable for describing multimedia content on the Web. Thus, the proposed metadata framework that was designed considering Web environments provides a thorough yet simple way to describe Web video contents. Precisely, the metadata framework was constructed on the basis of Chatman’s narrative theory, three multimedia metadata formats (PBCore, MPEG-7, and TV-Anytime), and social metadata. It consists of event information, event Group information, segment information, and video (program) information. This study also discusses how to automatically extract metadata elements including structural and semantic metadata elements from Web videos.
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