一种基于通用视频管理和应用处理框架的混合视频检索方法

S. Chan, Qing Li, Yi Wu, Yueting Zhuang
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引用次数: 11

摘要

视频是多面的对象,可以有不同的信息描述。一个全面的视频检索系统应该能够容纳和利用这些不同的(互补的)描述数据,以促进有效的检索。在本文中,我们提出了一种将基于查询(数据库)的机制与基于内容的检索(CBR)功能集成的混合方法。我们描述了VideoMAP +架构及其特定的语言机制(带有CBR的CAROL/ST),它提供了比目前纯基于查询或CBR方法更好的表达能力。目前正在PC平台上使用商业面向对象工具包开发实验原型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A hybrid approach to video retrieval in a generic video management and application processing framework
Videos are multi-faceted objects which can have different kinds of information descriptions. A comprehensive video retrieval system should be able to accommodate and utilize such various (complementary) description data in facilitating effective retrieval. In this paper, we present a hybrid approach by integrating a query-based (database) mechanism with content-based retrieval (CBR) functions. We describe the VideoMAP + architecture and its specific language mechanism (CAROL/ST with CBR) which provides an improved expressive power than what pure query-based or CBR methods currently offer. An experimental prototype is being developed using a commercial object-oriented toolkit on a PC platform.
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