TV2Web: generating and browsing Web with multiple LOD from video streams and their metadata

K. Sumiya, Mahendren Munisamy, Katsumi Tanaka
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引用次数: 17

Abstract

We propose a method of automatically constructing Web content from video streams with metadata that we call TV2Web. The Web content includes thumbnails of video units and caption data generated from metadata. Users can watch TV on a normal Web browser. They can also manipulate Web content with zooming metaphors to seamlessly alter the level of detail (LOD) of the content being viewed. They can search for favorite scenes faster than with analog video equipment, and experience a new cross-media environment. We also developed a prototype of the TV2Web system and discuss its implementation. Our experimental result shows 35% improvement for scene search tasks of video streams.
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TV2Web:从视频流及其元数据生成和浏览带有多个LOD的Web
我们提出了一种使用元数据从视频流自动构建Web内容的方法,我们称之为TV2Web。Web内容包括视频单元的缩略图和从元数据生成的标题数据。用户可以在普通的网络浏览器上看电视。他们还可以使用缩放比喻来操纵Web内容,以无缝地改变所查看内容的细节级别(LOD)。他们可以比使用模拟视频设备更快地搜索喜欢的场景,并体验新的跨媒体环境。我们还开发了一个TV2Web系统的原型,并讨论了它的实现。实验结果表明,视频流的场景搜索任务提高了35%。
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