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%26subtitle%3dIn+this+paper%252C+we+present+a+toolchain+for+a+comprehensive+audio%252Fvideo+analysis+by+leveraging+deep+learning+based+multimodal+approach.+To+this+end%252C+different+specific+tasks+of+Speech+to+Text+(S2T)%252C+Acoustic+Scene+Classification+(ASC)%252C+Acoustic+Event+Detection+(AED)%252C+Visual+Object+Detection+(VOD)%252C+Image+Captioning+(IC)%252C+and+Video+Captioning+(VC)+are+conducted+and+integrated+into+the+toolchain.+By+combining+individual+tasks+and+analyzing+both+audio+%2526+visual+data+extracted+from+input+video%252C+the+toolchain+offers+various+audio%252Fvideo-based+applications%3a+Two+general+applications+of+audio%252Fvideo+clustering%252C+comprehensive+audio%252Fvideo+summary+and+a+specific+application+of+riot+or+violent+context+detection.+Furthermore%252C+the+toolchain+presents+a+flexible+and+adaptable+architecture+that+is+effective+to+integrate+new+models+for+further+audio%252Fvideo-based+applications.&cdnurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.20168f1134b202c21b6b239b4d0cc556%3frik%3dS2nc0h52Z%252fLrMA%26pid%3dImgRaw%26r%3d0&exph=630&expw=1200&q=Use+Case+Diagram+for+Deep+Video+Detection&FORM=IRPRST&ck=88D054FEAE77258C12EE134435C43A44&selectedIndex=30&itb=0)
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