Content-Based Video Retrieval
Content-Based Video Retrieval
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DOI：
10.1007/978-1-4757-4865-9
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发表时间：
2004
期刊：
影响因子：
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通讯作者：
M. Petkovic;W. Jonker
中科院分区：
文献类型：
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作者：
M. Petkovic;W. Jonker
基于内容的视频检索是一个非常热门的研究领域和商业应用。为了设计有效的视频数据库的应用，如数字图书馆，视频制作，和各种互联网应用程序，有一个很大的需求，开发有效的技术，基于内容的视频检索。该研究领域的主要问题之一是如何弥合从视频中提取的低层特征（如颜色、纹理、形状、运动等）和在更高层次上描述视频概念的语义之间的语义鸿沟。在本书中，Milan Petkovi6博士和Willem Jonker教授通过开发和描述几种弥合语义鸿沟的创新技术来解决这个问题。他们的研究的主要贡献是开发了三种弥合语义鸿沟的技术，这是本书的核心：（1）使用Cobra框架的时空扩展的技术，（2）基于隐马尔可夫模型的技术，（3）基于贝叶斯信念网络的技术。为了评估这些技术的性能，作者使用真实的视频数据进行了大量实验。本书还讨论了问题的域解决方案与通用解决方案。Petkovi6和Jonker提出了一种解决方案，允许系统以最小的调整应用于多个领域。他们还设计并描述了一个原型视频数据库管理系统，该系统基于他们在书中提出的技术。
The area of content-based video retrieval is a very hot area both for research and for commercial applications. In order to design effective video databases for applications such as digital libraries, video production, and a variety of Internet applications, there is a great need to develop effective techniques for content-based video retrieval. One of the main issues in this area of research is how to bridge the semantic gap between low-Ievel features extracted from a video (such as color, texture, shape, motion, and others) and semantics that describe video concept on a higher level. In this book, Dr. Milan Petkovi6 and Prof. Dr. Willem Jonker have addressed this issue by developing and describing several innovative techniques to bridge the semantic gap.The main contribution of their research, which is the core of the book, is the development of three techniques for bridging the semantic gap:(1) a technique that uses the spatio-temporal extension of the Cobra framework,(2) a technique based on hidden Markov models, and (3) a technique based on Bayesian belief networks. To evaluate performance of these techniques, the authors have conducted a number of experiments using real video data. The book also discusses domains solutions versus general solution of the problem. Petkovi6 and Jonker proposed a solution that allows a system to be applied in multiple domains with minimal adjustments. They also designed and described a prototype video database management system, which is based on techniques they proposed in the book.