【24h】

Video Scene Retrieval Based on Local Region Features

机译:视频场景检索基于本地区域的功能

获取原文

摘要

This paper describes a novel method for content extraction and scene retrieval for video sequences based on local region descriptors. The local invariant features are obtained for all frames in a sequence and tracked throughout the shot to extract stable features. The scenes in a shot are represented by these stable features rather than features from one or more key frames. Compared to previous key frame based approaches, the proposed method is highly robust to camera and object motions and can withstand severe illumination changes. The proposed approach is applied to scene retrieval experiments and excellent performance is demonstrated
机译:本文介绍了一种基于局域描述符的视频序列的内容提取和场景检索的新方法。 为序列中的所有帧获得本地不变功能,并在整个镜头中跟踪以提取稳定的功能。 拍摄中的场景由这些稳定的功能表示,而不是来自一个或多个关键帧的功能。 与以前的基于关键帧的方法相比,所提出的方法对照相机和对象运动非常鲁棒,可以承受严重的照明变化。 所提出的方法适用于场景检索实验,并证明了出色的性能

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号