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         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/231c5727eb88426afb28ed3dd780d71bc/markusjohn",         
         "tags" : [
            "Movie","analysis,","analytics","myown","video","visual","visualization,"
         ],
         
         "intraHash" : "31c5727eb88426afb28ed3dd780d71bc",
         "interHash" : "b5d426101d290c9be0f34bb94afa732c",
         "label" : "Visual Movie Analytics",
         "user" : "markusjohn",
         "description" : "",
         "date" : "2017-03-06 17:17:40",
         "changeDate" : "2017-03-10 09:38:39",
         "count" : 1,
         "pub-type": "inproceedings",
         "booktitle": "IEEE TRANSACTIONS ON MULTIMEDIA, VOL. 18",
         "year": "2017", 
         "url": "", 
         
         "author": [ 
            "Kuno Kurzhals","Markus John","Florian Heimerl","Paul Kuznecov","Daniel Weiskop"
         ],
         "authors": [
         	
            	{"first" : "Kuno",	"last" : "Kurzhals"},
            	{"first" : "Markus",	"last" : "John"},
            	{"first" : "Florian",	"last" : "Heimerl"},
            	{"first" : "Paul",	"last" : "Kuznecov"},
            	{"first" : "Daniel",	"last" : "Weiskop"}
         ],
         "pages": "51","abstract": "The analysis of inherent structures of movies plays\r\nan important role in studying stylistic devices and specific,\r\ncontent-related questions. Examples are the analysis of personal\r\nconstellations in movie scenes, dialogue-based content analysis,\r\nor the investigation of image-based features. We provide a visual\r\nanalytics approach that supports the analytical reasoning process\r\nto derive higher level insights about the content on a semantic\r\nlevel. Combining automatic methods for semantic scene analysis\r\nbased on script and subtitle text, we perform a low-level analysis\r\nof the data automatically. Our approach features an interactive\r\nvisualization that allows a multilayer interpretation of descriptive\r\nfeatures to characterize movie content. For semantic analysis, we\r\nextract scene information from movie scripts and match them with\r\nthe corresponding subtitles. With text- and image-based query\r\ntechniques, we facilitate an interactive comparison of different\r\nmovie scenes on an image and on a semantic level. We demonstrate\r\nhow our approach can be applied for content analysis on a popular\r\nHollywood movie.",
         "bibtexKey": "conf/siggraph/Huh96"

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