The proliferation of digital video urges the need of video copy detection for content and rights management. An efjcient video copy detection technique should be able to deal with spatiotemporal variations (e.g., changes in brightness or frame rates), and lower down the computation cost. m i l e most studies put more emphases on spatial variations, less effort is made for temporal variations and computation cost. To address the above issues, we propose a time warping based approach for video copy detection. A time warping matching algorithm is used to deal with video temporal variations. To reduce matching times, a fast Pltering method to generate key parries and select candidate clips from video is presented. Our experiments demonstrate promising results of the proposed approach.