摘要
基于内容的视频检索是一个重要的研究领域 ,吸引了众多研究者的兴趣 .常用的查询方式是通过例子视频进行检索 .但是如何定义是否两个视频相似 ,仍然是尚未解决的问题 ,限制了检索系统的应用范围 .而且由于视频内容的复杂性 ,不同用户在检索过程中 ,即使对同一部视频 ,其注重的角度也有可能不同 ,因此接受用户的反馈意见 ,当用户对查询结果不满意时可以优化查询结果 ,突出用户的需要 .在综合了人类视觉心理特征的基础上 ,介绍了一种视频相似衡量的模型 ,从镜头、视频等多个层次 ,多种视觉判断角度 ,对视频间相似度进行衡量 .并在此基础上提出了从多个粒度——镜头层次和视频层次进行检索反馈的方法 .整个过程是自动进行的 。
Content based video retrieval is an important research direction attracting many researchers' interest. The commonly used retrieval method is content based video retrieval by example video clip. But the problem of how to define whether two videos are similar is still an obstacle to further application. And furthermore, since different persons may pay attention to different aspects of the same video for its complex content, adopting feedback advice into similarity model computation in order to reflect users' emphasis and refine the query results is important. Integrating all the visual judgement factors used in real life by ordinary people, a video similarity model is introduced to support the similarity measurement between videos from multi levels(such as shot and video level) and manifold angles(such as time spanning, order, continuity and so on). And on the basis of video similarity model, a novel method is proposed to process video retrieval feedback from various granularity, such as shot and video level, by adjusting all the factors used in computation. This progress is dynamically done. In this way, the retrieval result can be optimized flexibly according to different user's need.
出处
《计算机研究与发展》
EI
CSCD
北大核心
2001年第5期546-551,共6页
Journal of Computer Research and Development
基金
国家自然科学基金! ( 6980 3 0 0 9)
教育部优秀年轻教师基金
高等学校骨干教师资助!计划项目的资助
关键词
视频检索
视频检索反馈
图像检索系统
图像帧序列
多媒体
content based video retrieval, query by example, video similarity model, video retrieval feedback
