基于卷积神经网络的视频流行度趋势预测

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1、Æ“è10530ÆÒ201510111132©aÒO241—?úma¬ÆØ©ÄuòȲäÀª61ݪ³ýÿÆž<4¿•P“§{BÇƶ¡êƆOŽ‰ÆÆƉ;’êÆïÄ••&E?n˜lco›FÄuòȲäÀª61ݪ³ýÿÆž<4¿“6¶9…¡§{BÇƶ¡êƆOŽ‰ÆÆƉ;’êÆïÄ••&E?nÆž?OnÆa¬Æǃü‰ŒÆØ©JFÏ2018{4{20VideoTrendPredictionBasedonConvolutionalNeuralNetwo

2、rksCandidateKuiLiuSupervisorAssociateProfessorGeChengCollegeSchoolofMathematicsandComputationalScienceProgramMathematicsSpecializationInformationProcessingDegreeMasterofScienceUniversityXiangtanUniversityDateApril20th,2018Á‡‘X•.pé‰E%ÇuЧäÀª®²¤•p镇

3、’ƒ˜"ƒ'u>À§’§{ÕDÚxN§äÀª®²PkãŒ^rêþ!'5ÝÚÀªêâþ"3Web2.0uÐêÅe§péC•äkm˜5!2•5§Ù¥Àª©•Õ±‡<^r•äÀªÌ‡uÙÞ§¦!8SN•Œz´L§Àªêþ•¥¿ªO•"Óž9€ÀªU•Õ‘5ãŒ6þ§áÚ•õ^r*w§‰ÀªÕ±9ÀªþDö‘5•õ

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5、pA^u¢S¥5§ÏdÀª©•ÕþýÿØÓÀª61ª³§?¯„½™59€Àª§´˜‡I)û¯K"©´ÄuYouTubeÀªÕþêâ§òÀª61ª³ýÿ½Â•˜‡£8¯K§(ÜÕA:§JÑVÀªþDöâÒŸþ§Àª˜Úyª³n‡K•61ª³A§A^c61ÝÆSŽ{CNNòȲäïÑDLVPýÿ."Äk§(ÜÀª61ª³A:§÷ØÓÀª©!žmS!âÒŸþÚyª³A¿ý?n¶,

6、^K-meansàaŽ{òêâ8?1àa©a§•òàaÔö8

7、©O“DLVP.¥§¦).¥ëê§lïá•ZÀª61ª³ýÿ."ÏL¢ÿÁ§©uyVâÒŸþ§Àª˜Úyª³ùn‡AÑUü$ا²wJpýÿ°Ý§•ªþ•ØU››30.0143±e§ýÿO(Ç•Uˆ73.98%§ùÙ¥yª³éýÿ°ÝJpz•Œ"•ÏL†yk˜ýÿ•{?1¢'©Û§y²©ÀDLVPýÿ.Œ¢y5!Œ‚5Úp5"'…cµÀªÕ;ª³ýÿ;òȲä;yª³IABSTRACTWiththerapiddevelopmentofIntern

8、ettechnologyintheworld,onlinevideohasbecomeoneoftheimportantindustriesoftheInternet.Comparedwithtra-ditionalmediasuchasTV,newspapers,andnewsletters,onlinevideohasahugenumberofusers,attentionandvideodata.WiththedevelopmentopportunityofWeb2.0,theInterneth

9、asbecomemoreopenandextensive.Amongthem,videosharingwebsitesuseindividualusersasthemainsourceofonlinevideo,makingthecontentsoftheprogramsmaximisedandthenumberofvideosexploding.growthof.Atthesametime,popularvideoscanbringhugetractowebsites,attractmoreuse

10、rstowatch,andbringmorebenetstovideowebsitesandvideouploadersthemselves.Atpresent,thepredictionofthepopulartrendofvideowebsitesisstillinthedevelopmentandtestingstage.Themainstreamisbasedonthetextandtimeseriescharacteristicsofthev