期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2014
卷号：2
期号：4
出版社：S&S Publications
摘要：There are a number of methods available for video copy detection. Some of the methods were employing the application of local and global descriptors which were found to be ineffective in detections involvin g complex transformations. In order to overcome the above specifi ed inefficiency, Sc al e Invariant F eature Transform (SIFT) descriptor came into picture but was found to have a high computational cost. The method proposed in this paper involving five different t ypes of MPEG - 7 descriptors namely Color and Edge Directivity Descriptor (CEDD) , Fuzzy Color an d Texture Hist ogram (FCTH) , Scalable C olor Desc riptor (SCD) , Edge Histogram Descriptor (EHD) , Color Layout Descr iptor (C LD) for extracting the features of the frames in the selected video is found to be cost effective and efficient even in case of high lev el of transformations. This paper also throws light on certain improvements in graph - based video sequence matching method which is used to overcome the level of noise, to detect videos with different frame rates and optimal sequence matching is found autom atically from the disordered vide o sequences by applying spatial features during copy detection. Experi mental results have showed that the proposed method is far effective than the previously existing video detection scenarios.
