Research of Robust Video Fingerprinting

摘要：

The performance of a video fingerprinting system, which is usually measured in terms of pairwise independence and robustness, is directly related to the fingerprint that the system uses. This paper has proposed a novel fingerprinting methods base on the gradient orientations of the luminance centroid, which is not only pairwisely independent but also robust against common video processing steps including lossy compression, resizing, frame rate change, global change in brightness, color, gamma, etc.

关键词： video fingerprinting feature extraction content-based identification

作者: Liu Yang Yao Li

作者单位: Department of Software Engineering Southeast University, Suzhou, China Department of Computer Science and Engineering Southeast University, Nanjing, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 43-46

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）