Tool for Automated Annotation of Affective Faces Sample Clauses

Tool for Automated Annotation of Affective Faces. In order to be able to generate visual models that refer to certain emotions, we provided project partners with a tool to automatically annotate recorded videos with respect to their affective content. The tool was implemented as a command line tool, including all necessary emotion sensing components to enable a reliable offline analysis of visual video input. The annotation process includes the analysis of both valence and arousal for every single frame of the input video by using the aforementioned recognition approach. Figure 3: PRESENT recording session with professional actors. Head-mounted cameras recorded facial expressions and in order to quickly generate a rough annotation, an offline version of the aforementioned facial analysis component was provided to partners as an easy-to-use command line tool. The tool can be used to analyse recordings of the PRESENT actors (Figure 3) regarding their valence and arousal values. Due to the fact that this data is recorded with a head mounted camera, the recording setting is very consistent. To take advantage of this, we enhanced the offline annotation tool with an additional preprocessing stage. The implemented pre-processing algorithms take care of only taking relevant areas of the visual input into account. Thus, a face cropping algorithm that is exactly adapted to the specific recording scenario has been deployed.
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