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基于全局运动的视频检索方案
  • 期刊名称:北京邮电大学学报 2006.4
  • 时间:0
  • 分类:TP391[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构:[1]北京邮电大学电信工程学院,北京100876
  • 相关基金:国家自然科学基金项目(60462001)
  • 相关项目:基于内容的纪录片视频检索系统
中文摘要:

提出了一种基于全局运动的视频检索方案.对活动图像专家组(MPEG)视频进行全局运动分析,较精确地提取出摄像机的运动模型,将模型参数构成特征点序列,采用顺序匹配的方法进行示例检索;同时根据全局运动参数构造了运动分析函数,对视频进行了准确的全局运动分割和语义注释,并以此为基础,利用可扩展标记语言(XML)描述了视频的全局运动,测试了基于Xquery的语义查询.实验结果表明,在风景类视频中,该方案实现了一定程度的语义检索,较同类检索方案查询效率得到了提高.

英文摘要:

A video retrieval scheme based on global motion is proposed. A detailed global motion analysis for Moving Picture Export Group (MPEG) videos has been made and a camera motion model has been extracted. The model parameters are used as a motion features sequence, and the query by example of retrieval scheme is based on sequential match. Furthermore, according to global motion parameters motion analysis functions are constructed to segment exactly visual global motion and annotate semantic information, and then, the extensible markup language(XML) is used to describe the video global motion to realize the semantic query by Xquery engine. The experiments show that in the scenery videos, this scheme could query exactly and achieve semantic content retrieval to some extent, which has made an improvement in efficiency compared with other type of query schemes.

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