实时超媒体视频采集

Proceedings of the International Conference on Multimedia Computing and Systems Pub Date : 1995-05-15 DOI:10.1109/MMCS.1995.484922

T. Satou, M. Sakauchi

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引用次数: 9

摘要

现场超媒体是一种新型的超媒体，它利用视频场景识别技术从电视广播节目中获取一组需要的视频场景。根据识别模型的结构动态确定信息节点及其之间的联系。本文提出了一种状态转换类型表达式来描述动态超媒体上灵活的复合识别模型。该系统不仅可以检测电视节目类别，还可以检测节目内容。从检索效率、代码可重用性和识别过程中的计算时间三个方面对状态转换类型模型进行了评价。实验结果显示了该方法的灵活性和有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Video acquisition on live hypermedia

Live hypermedia is a new type of hypermedia which can acquire a desired set of video scenes from television broadcasting programs using the video scene recognition techniques. Information nodes and links between them care dynamically determined corresponding to the structure of the recognition models. In this paper, a state-transition type expression is proposed to describe flexible and compound models for recognition on live hypermedia. The system can detect not only TV program categories but also their contents. The state transition type model is evaluated in these aspects: retrieval efficiency, code reusability, and computing time during recognition. These experimental results reveal flexibility and effectiveness of our approach.

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来源期刊

Proceedings of the International Conference on Multimedia Computing and Systems

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