A Video Segmentation and Key Frame Extraction Method for Compressed Video Stream
Abstract
Based on compressed video segment detection, the decompression step can be omitted, features can be directly extracted from the original video data stream, and the detection rate can be accelerated. This paper analyzes the characteristics of video data, video segmentation and key frame selection. Based on the analysis of the key technologies of video retrieval technology, the compressed video stream extraction method based on video segmentation and key frame is introduced. A method of extracting key frames from MPEG compressed video based on DC coefficients and motion vectors is proposed. Experiments show that the proposed method can reduce the computational burden, and can better represent the video content.
Keywords
Compressed video stream, DC coefficient, Motion vector, Key frame extraction.
DOI
10.12783/dtcse/cimns2017/17415
10.12783/dtcse/cimns2017/17415
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