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1、ABSTRACTVideosurveillancesystemsisanimportantpartofsecuritysystemsforreal-timemonitoringthefrontscreeninformation,preventionofcriminalactsandtoprovidequerycapabilitiesofhistoricalmonitoringinformation.Itcanprovidestrongevidencefortheinvestigationtosolvethecaseandensurethesafetyoflifeandproperty.Af
2、teryearsofrapiddevelopment,ourvideosurveillancesystemhasenteredtheeraofall-digitalnetwork-basedmonitoringfromtraditionalanalogvideosurveillancesystems,andbecomingmoreandmoreintelligent,particularlythehugeimprovementofhardwareperformance,whichhavegreatlypromotedthedevelopmentofvideosurveillancesyst
3、ems.Digitalnetworksurveillancesystemgreatlyexpandsthescopeofmonitoringsystems,aswellasthenumberofdevicesisnolongersubjecttolimitationsoflargenumberofcameras,butalsobroughtgreatchallengesonthemaintenanceofequipment.Oncethefrontcameraisfaulty,videosurveillancesystemwillfoil.Facedwiththehugesurveilla
4、ncenetwork,howtoquicklylocatethefaultisanurgentneed.Underthisapplicationbackgroundandneeds,intelligentvideoqualitydiagnosticsystemcameintobeing.Intelligentvideoqualitydiagnosissystemismainlyusedforintelligentanalysisofvideofailureandtimelywarning,effectivelypreventingmonitoringfailurescausedbyhard
5、wareproblems.Intelligentvideoqualitydiagnosticsystemismainlybasedoncomputervisionandartificialintelligencetechnology,tojudgevideoresolutionabnormalitiescausedbyimproperfocusingofthecameraintelligentlybyanalyzingthevideocontent,includingeachframeofthevideoimageandrelatedinformationbetweenframesofth
6、eimage,andcalculatingthegradientdistributionindifferentregions,andtodeterminewhetherthecolorcastexistsbyanalyzingthedifferencesofthedistributionhistogramofRGBatdifferentintervals,todeterminewhetherthereisvideojitterbycalculatingthesimilaritybetweentheimagesofadjacentframesandaminimumpartialshift.T
7、hevideoqualitydiagnosticalgorithmsisdesignedandrealizedbasedonthisseriesofprinciplestomakeaccuratejudgmentsandalarminformationforcommonfaultsappearinimages,suchasblur,colorcast,gainimbalance,effectivelypreventing
