Recent　rapid　development　in　video　capture　and　broadband　communication　technologies　have　brought　video　content　production　into　an　explosive　growth　era.　However,　more　and　more　near-duplicate　video　clips　spread　over　the　Internet.　It　not　only　lowers　the　retrieval　efficiency　but　also　wastes　the　network　bandwidth　and　storage　space.　Therefore　effective　and　efficient　detection　of　near-duplicate　video　clips　become　a　challenging　issue.　In　this　paper　a　video　fingerprinting　based　scheme　is　proposed　to　detect　the　near-duplicate　video　clips.　Video　fingerprint　consists　of　two　motion　features,　including　motion　magnitude　and　motion　activity.　Experimental　results　on　detecting　near-duplicate　video　clips　over　several　kinds　of　video　data　show　the　effectiveness　and　efficiency　of　the　proposed　combined　scheme　based　on　video　fingerprint.　©　2011　IEEE.