Title :
A novel video key frame extraction algorithm
Author :
Liu, T.M. ; Zhang, H.J. ; Qi, F.H.
Author_Institution :
Dept. of Comput. Sci. & Eng., Shanghai Jiao Tong Univ., China
Abstract :
Key frame is a simple yet effective form of summarizing a long video sequence. We present a novel key frame extraction algorithm. The number of and where to place the key frames are determined by the Perceived Motion Energy (PME) feature of a shot. The motion pattern of a typical scene is composed of a motion acceleration process and a following deceleration process and this pattern is repeated in video sequence. A triangle model is developed to describe the motion pattern and segment video sequences. The frames at the start point and end point of motion acceleration are selected as key frame candidates. So one can infer the movement in between two key frames and the salient action content in video can be abstracted by these key frames.
Keywords :
feature extraction; image sequences; video signal processing; PME; Perceived Motion Energy feature; deceleration process; key frame candidates; long video sequence; motion acceleration process; motion pattern; salient action content; video key frame extraction algorithm; video sequence segmentation; Acceleration; Cameras; Computer science; Data mining; Indexing; Layout; Motion analysis; Power engineering and energy; Streaming media; Video sequences;
Conference_Titel :
Circuits and Systems, 2002. ISCAS 2002. IEEE International Symposium on
Print_ISBN :
0-7803-7448-7
DOI :
10.1109/ISCAS.2002.1010411