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Users' response to affective film content: A narrative perspective., , , , and . CBMI, page 1-6. IEEE, (2010)Interactive Segmentation of Biomedical Images and Volumes Using Connected Operators., , , and . ICIP, page 452-455. IEEE, (2000)Hierarchical structuring of video previews by Leading-Cluster-Analysis., , and . Signal Image Video Process., 4 (4): 435-450 (2010)The art of video MashUp: supporting creative users with an innovative and smart application., , , , , , and . Multim. Tools Appl., 53 (1): 1-23 (2011)RUSHES - an annotation and retrieval engine for multimedia semantic units., , , , , , , , , and . Multim. Tools Appl., 48 (1): 23-49 (2010)Classifying cinematographic shot types., , and . Multim. Tools Appl., 62 (1): 51-73 (2013)CEREBRUM: a fast and fully-volumetric Convolutional Encoder-decodeR for weakly-supervised sEgmentation of BRain strUctures from out-of-the-scanner MRI., , , , and . Medical Image Anal., (2020)Face analysis through semantic face segmentation., , , , and . Signal Process. Image Commun., (2019)Fighting the scanner effect in brain MRI segmentation with a progressive level-of-detail network trained on multi-site data., , , , and . CoRR, (2022)Affective Recommendation of Movies Based on Selected Connotative Features., , and . IEEE Trans. Circuits Syst. Video Technol., 23 (4): 636-647 (2013)