With　the　diversified　development　of　the　digital　devices,　such　as　computer,　mobile　phone,　pad　and　television,　how　to　resize　an　image　or　video　to　adapt　to　different　display　screens　has　been　attracting　more　and　more　peoples＇　attention.　Seam　carving　has　been　an　important　method　for　image　resizing.　If　multiple　removed　or　inserted　seams　are　located　within　a　certain　region,　it　can　lead　to　discontinuity　image　content.　Besides,　the　salient　objects　tend　to　be　destroyed　if　the　energy　function　only　contains　the　gradient　information.　Therefore,　we　propose　an　accumulative　energy　based　seam　carving　method　for　image　resizing.　When　removing　a　certain　seam,　we　distribute　the　energy　of　each　pixel　on　the　seam　to　its　adjacent　8-connected　pixels　in　order　to　avoid　the　extreme　concentration　of　seams,　especially　within　a　texture　region.　In　addition,　we　add　the　image　saliency　and　the　edge　information　into　the　energy　function　to　reduce　the　distortion.　Since　the　computational　complexity　of　seam　carving　method　is　very　high,　we　use　parallel　computing　environment　to　achieve　efficient　computation.　Experimental　results　show　that　compared　with　the　existing　methods,　our　method　can　both　avoid　the　discontinuity　of　image　content　and　distortions　as　well　as　better　maintain　the　shape　of　the　salient　objects.