LLE-based Video Hashing for Video Identification

摘要：

As web video databases tend to contain immense copies with the explosive growth of online videos, effective and efficient copy identification techniques are required for content management and copyrights protection. To this end, this paper presents a novel video hashing for video copy identification based on Locally Linear Embedding (LLE). It maps the video to a lowdimensional space through LLE, which is invariant to translation, rotation and rescaling. In this way, we can use the points mapped from the video to play as a robust hashing. Meanwhile, to detect copies which are parts of original videos or contain a clip that comes from original. A dynamic sliding window is applied for matching. Experimental results show that the video hashing is of good robustness and discrimination.

关键词： video identification video hashing LLE

作者: Xiushan Nie Jianping Qiao Ju Liu Jiande Sun Xinchao Li Wei Liu

作者单位: School of Computer and Information Engineering, Shandong University of Finance, Jinan, China, 250014 School of Communication, Shandong Normal University, Jinan, China, 250014 School of Information Science and Engineering, Shandong University, Jinan, China, 250100 Hisense Sta School of Information Science and Engineering, Shandong University, Jinan, China, 250100 Hisense State Key Laboratory of Digital Multi-Media Technology Corp., LTD, Qindao, China, 266071

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 1837-1840

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）