PDF-MITSUBISHIELECTRICRESEARCHLABORATORIEShttp://www.merl.comImageandVideo

Author : jane-oiler | Published Date : 2016-11-13

MatthewBrandTR2009032July2009Abstract ThispaperconsiderstheproblemofalteringanimagebyimperceptiblyaddingorremovingpixelsforexampletotadifferentlyshapedframewithminimallossofinterestingcontentWesh

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MITSUBISHIELECTRICRESEARCHLABORATORIEShttp://www.merl.comImageandVideo: Transcript

MatthewBrandTR2009032July2009Abstract ThispaperconsiderstheproblemofalteringanimagebyimperceptiblyaddingorremovingpixelsforexampletotadifferentlyshapedframewithminimallossofinterestingcontentWesh. On the left is the original image with one horizontal and one vertical seam In the middle the energy function used in this example is shown the magnitude of the gradient along with the vertical and horizontal path maps used to calculate the seams By 2 0 1 5 S EA SO N S EATIN G RE S ERVE S Grum p iestBo y intheWorld | 24October201 5 Merl y n,TheCoo p OOOOOOOOOOOOOOOOOOOOOOOOAA123456789101112131415161718192021222324AAOOOOOOOOOOOOOOOOOOOOOOOOBB12345 Molisch,A.;Zhang,J.;MiyakeM.TR2003-92July2003Abstract Thispaperanalyzesfrequency-hopping(FH)andtime-hopping(TH)asmultipleaccessformatforultrawidebandcommunications.Weapplytheconceptoffourthegy,recentl EeroP.Simoncelli,WilliamT.FreemanTR95-15December1995Abstract Wedescribeanarchitectureforefcientandaccuratelineardecompositionofanimageintoscaleandoeientationsubbands.Thebasisfunctionsofthisdecomposit AndrewR.Golding,YvesSchabesTR96-03aDecember1996Abstract Thispaperaddressestheproblemofcorrectingspellingerrorsthatresultinvalid,thoughunin-tendedwords(suchaspeaceandpiece,orquietandquite)andalsothepro SubmittedinNovember2000. CollaboratingwithFocusedandUnfocusedUsersunderImperfectCommunicationNealLesh,CharlesRichandCandaceL.SidnerMitsubishiElectricResearchLaboratoriesAbstract.Atotallyfocuseduseralw W.T.Freeman,K.Tanaka,J.Ohta,K.KyumaTR96-35October1996Abstract Theappealofcomputergamesmaybeenhancedbyvision-baseduserinputs.Thehighspeedandlowcostrequirementsfornear-term,mass-marketgameapplicationsma Viola,P.;Jones,M.TR2004-043May2004Abstract Thispaperdescribesamachinelearningapproachforvisualobjectdetectionwhichiscapableofprocessingimagesextremelyrapidlyandachievinghighdetectionrates.Thisworkisdi WilliamT.Freeman,MichalRothTR94-03December1994Abstract Wepresentamethodtorecognizehandgestures,basedonapatternrecognitiontechniquede-velopedbyMcConnell[16]employinghistogramsoflocalorientation.Weuseth ComputerScienceDivision,UCBerkeley,Berkeley,CA94720,USA.MERL,201Broadway,Cambridge,MA02139,USA. inputimagesquiltingresultsFigure1:Demonstrationofquiltingfortexturesynthesisandtex-turetransfer.Usingthe Tachioka,Y.;Watanabe,S.;Hershey,J.R.TR2013-020May2013Abstract Automaticspeechrecognitioninthepresenceofnon-stationaryinterferenceandreverberationremainsachallengingproblem.The2ndAnnualSpeechSeparation SarahF.Frisken,RonaldN.Perry,AlynP.Rockwood,ThouisR.JonesTR2000-15December2000Abstract AdaptivelySampledDistanceFields(ADFs)areaunifyingrepresentationofshapethatintegratenumerousconceptsincomputergrap Ming-YuLiu,OncelTuzel,AshokVeeraraghavan,RamaChellappaTR2010-045July2010Abstract Westudytheobjectlocalizationprobleminimagesgivenasinglehand-drawnexampleoragalleryofshapesastheobjectmodel.Althoughmany Almers,P.;Tufvesson,F.TR2003-104August2003Abstract Ithasbeenpredictedtheoreticallythatforsomeenvironments,thecacityofwirelessMIMOsystemscanbecomeverylowevenforuncorrelatedsignals;thiseffecthasbeenterm

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