摘要
针对互联网视频内容的复杂性,选择能够表征视频内容的特征,首先通过LSH哈希算法对特征进行索引,并由此确定视频之间的帧匹配序列,然后对于计算出的帧匹配序列,采用随机抽样一致性算法进行拟合,从而得到有效的帧匹配序列.视频之间的相似度依据有效帧匹配序列的相似度计算,由相似度进行互联网视频片段的消重.实验表明,对于大量内容相似的互联网视频片段,该方法能较好地描述相似性,并能有效提高检测准确率.
In view of the complexity of video clips data,a method was designed for extracting features to represent video clips and using locality sensitive hashing to compute the frame match sequence between video clips,RANSAC was used to fit the match sequence,obtain the valid match sequence and compute the similarity between clips.Experimental results show that the method can effectively describe the similarity of web video clips as well as detect and eliminate near duplicate video clips.
基金
中国高技术研究发展(863)计划(2008AA01Z408
2008AA01A318)资助
