Present　video　retrieval　methods　have　many　problems.　To　solve　these　problems,　a　new　video　retrieval　algorithm　base　on　video　spatio-temporal　feature　curves　is　proposed　in　this　paper.　In　this　new　algorithm,　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,　to　solve　the　problems　of　brightness　offset　in　all　frames　and　abrupt　intense　disturbance,　the　paper　uses　Grads　comparison　method　and　Exception　Factor.　And　to　solve　the　problem　of　time　disobedience,　Dynamic　Time　Warping　algorithm　is　adopted.　The　new　algorithm　can　largely　reduce　the　data　amount　of　video　retrieval.　Experimental　results　show　the　effectiveness　and　robustness　of　the　algorithm.