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《@[TMM 2010] Real-Time Visual Concept Classification》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、1Real-timeVisualConceptClassificationJ.R.R.Uijlings,A.W.M.SmeuldersandR.J.H.SchaAbstract—AsdatasetsgrowincreasinglylargeincontentbasedThispaperpresentsacomprehensiveevaluationofvariousimageandvideoretrieval,computationalefficiencyofconceptfastBag-of-Wordscomponentsintermsofbothcomputa-clas
2、sificationisimportant.Thispaperreviewstechniquestotionalefficiencyandretrievalperformance,whichisourmainaccelerateconceptclassification,whereweshowthetrade-offcontribution.Theevaluationshowsanincreaseofaccuracybetweencomputationalefficiencyandaccuracy.AsabasisweusetheBag-of-Wordsalgorithmtha
3、tinthe2008benchmarksofforRandomForests[7]bycombiningthemwithPrincipalTRECVIDandPASCALleadtothebestperformancescores.WeComponentAnalysis,andanincreaseincomputationaleffi-dividetheevaluationinthreesteps:(1)DescriptorExtraction,ciencybydeterminingrelevantimagedivisionsfortheSpatialwhereweeva
4、luateSIFT,SURF,DAISY,andSemanticTextons.Pyramid[8].Additionally,wepresentseveralimprovements(2)VisualWordAssignment,wherewecompareak-meansvisualuponthecomponentsunderconsideration:WeprovideavocabularywithaRandomForestandevaluatesubsampling,dimensionreductionwithPCA,anddivisionstrategieso
5、fthemodifiedwaytospeedupthecalculationofdenselysampled2SpatialPyramid.(3)Classification,whereweevaluatetheχ,SIFT[9]descriptors.Similarly,weturnSURF[10]intoRBF,andFastHistogramIntersectionkernelfortheSVM.afaster,denselysampleddescriptor.WeacceleratenearestApartfromtheevaluation,weaccelerate
6、thecalculationofneighbourassignment.Furthermore,weincreaseaccuracyofdenselysampledSIFTandSURF,acceleratenearestneighbourtheHistogramIntersectionbasedSupportVectorMachineassignment,andimproveaccuracyoftheHistogramIntersectionkernel.Weconcludebydiscussingwhetherfurtheraccelerationbybalanci
7、ngvisualwordfrequencies.Finally,nexttotheoftheBag-of-Wordspipelineispossible.experimentalevaluation,weprovideatheoreticaldiscussionOurresultsleadtoa7-foldspeedincreasewithoutaccuracyoncomputationalefficiencyoftheBag-of-Wordsmethod.loss,anda70-foldspeedincreasewith3%accurac