Visual Movie Analytics
The analysis of inherent structures of movies plays an important role in studying stylistic devices and specific, content related questions. Examples are the analysis of personal constellations in movie scenes, dialogue based content analysis, or the investigation of image based features. We provide a visual analytics approach that supports the analytical reasoning process to derive higher level insights about the content on a semantic level. Combining automatic methods for semantic scene analysis based on script and subtitle text, we perform a low level analysis of the data automatically. Our approach features an interactive visualization that allows a multilayer interpretation of descriptive features to characterize movie content. For semantic analysis, we extract scene information from movie scripts and match them with the corresponding subtitles. With text and image based query techniques, we facilitate an interactive comparison of different movie scenes on an image and on a semantic level. We demonstrate how our approach can be applied for content analysis on a popular Hollywood movie.
IEEE Transactions on Multimedia