Title :
Video segmentation and key frame extraction with parametric model
Author :
Chen, Wei ; Zhang, Yu-Jin
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing
Abstract :
In this paper, a parametric model for video segmentation and key frame extraction in the video content analysis is proposed. The autoregressive (AR) modeling is used to model the feature sequence of frames over time and to make the future content analysis in the AR parametric space. Based on this parametric framework, detecting shot boundaries in video sequences and extracting key frames from shots are conducted. Real experiments results are presented to illustrate the good performance of this new method.
Keywords :
autoregressive processes; feature extraction; image sequences; video signal processing; autoregressive modeling; key frame extraction; parametric model; video content analysis; video segmentation; video sequences; Cameras; Gunshot detection systems; Learning systems; Object detection; Parameter estimation; Parametric statistics; Predictive models; Resonance light scattering; Video sequences; White noise; Autoregressive model; Key frame extraction; Video content analysis; Video segmentation;
Conference_Titel :
Communications, Control and Signal Processing, 2008. ISCCSP 2008. 3rd International Symposium on
Conference_Location :
St Julians
Print_ISBN :
978-1-4244-1687-5
Electronic_ISBN :
978-1-4244-1688-2
DOI :
10.1109/ISCCSP.2008.4537373
