Multimedia　services　have　the　characteristics　of　large　volumes　of　data,　significant　differences　between　types　and　high　complexity　of　input　and　output,　and　therefore　the　solution　of　resource　allocation　for　multimedia　services　would　meet　higher　requirements.　In　accordance　with　those　characteristics　of　multimedia　services,　this　paper　presents　a　resource　allocation　strategy　for　handling　multimedia　tasks　in　the　cloud.　With　the　introduction　of　multiple　QoS　requirements　of　users　and　cloud　service　providers,　the　virtual　resource　allocation　problem　should　be　considered　from　three　aspects,　i.e.　completion　time,　cost　and　energy　consumption.　The　proposed　strategy　builds　a　new　utility　function　and　uses　game　theory　to　solve　the　problem　of　resource　competition　and　reuse.　Compared　with　the　traditional　method,　the　experimental　results　show　that　the　proposed　resource　allocation　strategy　can　reduce　the　completion　time　of　multimedia　tasks　nearly　40%,　save　the　users＇　cost　about　25%,　and　cut　down　the　energy　consumption　of　the　cloud　approximately　30%.　The　proposed　strategy　can　optimize　resource　utilization　and　allocation　while　ensuring　the　quality　of　services　and　videos.