基于内容检索的视频处理技术

Review of Video Parsing Techniques for Contented Based Video Retrieval

从分析视频数据的结构和特点出发 ,总结了基于内容检索的视频处理方法的一般步骤 ,即视频分割、关键帧选取、静态和动态特征提取以及视频聚类等 ,然后深入介绍了各个处理过程中的一些最新方法 ,并分析了各种方法和技术的优缺点 ;最后 ,对基于内容的视频检索提出一些值得进一步研究的问题 .

Video contains the most affluent information but implies huge storage and complicated semantics. To search for required fragments among huge quantity of video is a tedious and time consuming task for traditional manual indexing and sequential searching methods which certainly cannot meet the performance requirements of video databases. What the users want is to query by contents, that is, to get the desired fragments of video with just some given examples or feature descriptions. Because of the complicated structure and temporal variation of video data, it is very difficult to index video by content. Researchers have worked out various methods and techniques to solve the problem. The essential steps for content based video indexing are video segmentation, key frame selection, static and dynamic feature extraction and video clustering. Starting from a brief description of the structures and characteristics of video, this paper generalizes the methods and techniques used in content based video indexing, analyses in depth the newly proposed ones and their respective advantages and drawbacks. As a conclusion, the paper discusses some of the problems in content based video indexing that are worth to be tackled in future researches.