This　paper　introduces　a　new　video　copy　detection　method　base　on　the　combination　of　video　Y　and　U　spatiotemporal　feature　curves　and　key　frames.　In　this　new　method,　the　feature　curves　are　extracted　from　the　video,　and　then　two　videos＇　feature　curves　are　compared　to　determine　whether　they　have　the　same　content　or　not.　In　the　comparing　process,　Grads　comparison　method　and　Exception　Factor　are　used.　To　improve　retrieval　precision　for　videos　like　films,　a　method　based　on　clips　and　key　frames　is　added　after　spatio-temporal　feature　curves　based　retrieval.　The　new　algorithm　can　largely　reduce　the　data　amount　of　video　copy　detection.　Experimental　results　show　the　effectiveness　and　robustness　of　the　method.　©　2011　IEEE.