摘要： 根据新闻视频伴随文本及关键帧图像多模异构特征，构建多翼Harmoniums模型，该模型包括多元文本泊松分布和多元颜色直方图高斯分布2个子模型。通过研究隐含主题与观测输入之间的双向依存关系，将其扩展为双层随机场模型，从而对新闻视频进行语义挖掘。在CCTV新闻视频集上进行测试，实验结果验证了该模型的有效性。
关键词:
多翼Harmoniums模型,
语义挖掘,
新闻视频
Abstract: According to the heterogeneous features of news video accompany text and multimode key frame image, the Multi-Wing Harmoniums(MWH) model is set up, which contains two submodels of multivariate text Poisson distribution and multivariate color histogram Gaussian distribution. By researching the doubleaction dependent relation of implication theme and observation input, this model is extended to two layer random field model, which conducts the semantic mining to news video. It is tested in CCTV news video sets, and the results show this model is effective.
Key words:
Multi-Wing Harmoniums(MWH) model,
semantic mining,
news video
中图分类号:
徐新文;李国辉;付畅俭;. 基于MWH模型的新闻视频语义挖掘[J]. 计算机工程, 2009, 35(17): 219-222.
XU Xin-wen; LI Guo-hui; FU Chang-jian;. News Video Semantic Mining Based on Multi-Wing Harmoniums Model[J]. Computer Engineering, 2009, 35(17): 219-222.