期刊论文

中文

小型微型计算机系统

1000-1220

2014

35

9

2156-2161

10.3969/j.issn.1000-1220.2014.09.043

湖北省自然科学基金项目（2009Chb008,2010CDB06603）资助 湖北省教育厅重点科研项目（D20101703）资助

本校为第一机构

为了更好地挖掘视频数据和分析视频内容,该文提出一种基于语义概念的多模态视频场景分割算法,充分考虑视频中多模态之间的时序关联共生特性,通过相似度融合算法计算得到视频镜头间的相似度关系,将降维处理得到的低维语义空间坐标作为支持向量机的输入,构造出若干不同语义概念训练分类器,预测出每个关键帧的语义概念矢量,利用语义重叠镜头链方法对镜头进行聚类得到视频场景.实验结果表明,该方法能有效地检测视频语义概念和分割视频场景,MAP值、M值分别达到50%和83.4%.

To better video data mining and analysis of video content, a multi-modality video scene segmentation algorithm with semantic concept is proposed based on SimFusion, locality preserving projections （ LPP）, support vector machine （ SVM ）, and semantic overlapped shot linked algorithm in this paper. Take full account of temporal associated co-occurring of multimodal media data in video, and using multi-modality subspace correlation propagation, the video shot similarity is calculated, then semantic space coordinates obtained by reducing the di...