TY  - EJOU
AU  - Zhang, Yunzuo 
AU  - Zhang, Shasha 
AU  - Zhang, Jiayu 
AU  - Guo, Kaina 
AU  - Cai, Zhaoquan 

TI  - Key Frame Extraction of Surveillance Video Based on Frequency Domain Analysis
T2  - Intelligent Automation \& Soft Computing

PY  - 2021
VL  - 29
IS  - 1
SN  - 2326-005X

AB  - Video key frame extraction, reputed as an essential step in video analysis and content-based video retrieval, and meanwhile, also serves as the basis and premise of generating video synopsis. Video key frame extraction means extracting the meaningful parts of the video by analyzing their content and structure to form a concise and semantically expressive summary. Up to now, people have achieved many research results in key frame extraction. Nevertheless, because the surveillance video has no specific structure, such as news, sports games, and other videos, it is not accurate enough to directly extract the key frame with the existing effective key frame extraction method. Hence, based on frequency domain analysis, this paper proposed a key frame extraction method for surveillance video, which obtains the frequency spectrum and phase spectrum by performing Fourier transform on the surveillance video frames. Using the frequency domain information of two adjacent frames can accurately reflect the global motion state changes and local motion state changes of the moving target. Experimental results show that the proposed method is correct and effective, and the extracted key frames can more accurately capture the changes in the global and local motion states of the target compared with the previous methods.
KW  - Frequency domain analysis; frequency spectrum; Fourier transform; local motion states; key frame extraction

DO  - 10.32604/iasc.2021.017200