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+model+that+extends+the+modalities+of+previous+CVAE+models%252C+by+using+fully-connected+latent+layers+to+embed+in+parallel+the+CNN+encodings+of+video+frames%252C+together+with+the+LSTM+encodings+of+their+related+text+derived+from+audio.+We+incorporate+the+model+within+a+larger+system+that+includes+frame-caption+alignment%252C+latent+space+vector+clustering%252C+and+a+novel+LLM-based+cluster+interpreter.+We+measure%252C+tune%252C+and+apply+this+system+to+the+task+of+summarizing+a+video+into+three+to+five+thematic+clusters%252C+with+each+theme+described+by+ten+LLM-produced+phrases.+We+apply+this+system+to+two+news+topics%252C+COVID-19+and+the+Winter+Olympics%252C+and+five+other+topics+are+in+progress.&cdnurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.ac7a300f730751d9d8fed8c9cd2e6764%3frik%3dF5cfrYDHKjCqRw%26pid%3dImgRaw%26r%3d0&exph=630&expw=1200&q=Multimodal+Autoencoder&simid=608004088525775709&FORM=IRPRST&ck=F307019B375AE0A6053B166A154C55A6&selectedIndex=7&itb=0)
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