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Multimodal Annotation

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Multimodal annotation is the process of labeling and categorizing data that encompasses multiple modes of communication, such as text, audio, images, and video. This approach enhances the understanding and analysis of complex datasets by integrating diverse forms of information, facilitating richer insights in fields like machine learning, linguistics, and cognitive science.
lightbulbAbout this topic
Multimodal annotation is the process of labeling and categorizing data that encompasses multiple modes of communication, such as text, audio, images, and video. This approach enhances the understanding and analysis of complex datasets by integrating diverse forms of information, facilitating richer insights in fields like machine learning, linguistics, and cognitive science.
The MUMIN multimodal coding scheme was originally created to experiment with annotation of multimodal communication in short clips from movies and in video clips of interviews taken from Swedish, Finnish and Danish television... more
In this short report, I share my experience of getting to know the choreographic practice of choreographer Jonathan Burrows and composer Matteo Fargion using the Motion Bank digital annotation tool Piecemaker. My report narrates the... more
ABSTRACT In this short report, I share my experience of getting to know the choreographic practice of choreographer Jonathan Burrows and composer Matteo Fargion using the Motion Bank digital annotation tool Piecemaker. My report narrates... more
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