基于内容的Flash检索的高效数据库设施

Bo Feng, Qing Li, Jun Yang, Wenyin Liu, Jian Zhai
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引用次数: 1

摘要

Flash /spl正在经历惊人的增长,并已成为网络上最流行的媒体格式之一。不幸的是,很少有研究工作致力于按内容检索Flash电影,这是利用巨大的Flash资源的关键。与文本或图像不同,Flash影片包含许多不同类型的组件,如对象、事件和交互,数量从数十到数百不等。如何在数据库中有效地索引和存储这些组件是一个很大的挑战。在本文中,我们基于电影在对象、事件和交互层面的特点,提出了一种新的星型模式用于数据库设计和相关设施。实验结果表明,该方法可以检索到更多的相关电影,有效地利用了存储空间,加快了检索速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient database facilities for content-based Flash retrieval
Flash /spl trade/ is experiencing a breathtaking growth and has become one of the prevailing media formats on the Web. Unfortunately, little research effort has been dedicated to the retrieval of Flash movies by content, which is critical to the utilization of the enormous Flash resource. Unlike text or image, a Flash movie contains a number of components in different types such as objects, events and interactions, with the number ranging from tens to hundreds. How to index and store these components effectively and efficiently in a database is a big challenge. In this paper, we propose a novel star schema for database design and associated facilities, based on the movie's characteristics at object, event and interaction levels. Experiment results are given to show that our approach can retrieve more relevant movies, efficiently use the storage space and speed up the retrieval process.
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