Video Partitioning and Secured Keyframe Extraction of MPEG Video

摘要

Video partitioning and keyframe extraction (KFE) are the key foundations of video analysis and Content based video retrieval. The use of keyframes reduces the amount of data that is necessary in video indexing and provides the outline for dealing with the video content. In the last few years, many algorithms of keyframe extraction concentrated on the original compressed video stream. This can increase computational complexity when decompression is required before video processing. Keyframe is the frame, which can be a prototype of the salient content and information of the shot. The keyframes extracted must summarize the significant features of the video in time sequence. Therefore, there is a commensurate need of an efficient and secured keyframe selection technique in an efficient CBVR system. We propose an algorithm for keyframe extraction of compressed video shots using adaptive threshold method. Extensive computation on 200 plus video clips is performed and results are accurate and satisfactory.