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Computational media intelligence: Human-centered machine analysis of media
Media is created by humans for humans to tell stories. There exists a natural and imminent
need for creating human-centered media analytics to illuminate the stories being told and to …
need for creating human-centered media analytics to illuminate the stories being told and to …
Multimodality for NLP-centered applications: Resources, advances and frontiers
With the development of multimodal systems and natural language generation techniques,
the resurgence of multimodal datasets has attracted significant research interests, which …
the resurgence of multimodal datasets has attracted significant research interests, which …
Automated coding of televised leader displays: Detecting nonverbal political behavior with computer vision and deep learning
For decades, nonverbal communication scholars have employed manual coding as the
primary research methodology for systematic content analysis of nonverbal behaviors such …
primary research methodology for systematic content analysis of nonverbal behaviors such …
Reading emotions in Dogs' eyes and Dogs' faces
Our primary goal was to investigate human ability to recognize basic emotions from only the
eyes of dogs in comparison to the whole face. Simultaneously, we replicated and extended …
eyes of dogs in comparison to the whole face. Simultaneously, we replicated and extended …
Adoption of artificial intelligence along with gesture interactive robot in musical perception education based on deep learning method
C Zhang, H Li - International journal of humanoid robotics, 2022 - World Scientific
The present work aims to improve students' interest in music teaching and promote modern
teaching. A distributed application system of artificial intelligence gesture interactive robot is …
teaching. A distributed application system of artificial intelligence gesture interactive robot is …
Toward an infrastructure for data-driven multimodal communication research
Research into the multimodal dimensions of human communication faces a set of distinctive
methodological challenges. Collecting the datasets is resource-intensive, analysis often …
methodological challenges. Collecting the datasets is resource-intensive, analysis often …
Communicative learning with natural gestures for embodied navigation agents with human-in-the-scene
Human-robot collaboration is an essential re-search topic in artificial intelligence (AI),
enabling researchers to devise cognitive AI systems and affords an intuitive means for users …
enabling researchers to devise cognitive AI systems and affords an intuitive means for users …
Gesture studies and semiotics
I Mittelberg, J Hinnell - Bloomsbury semiotics, 2022 - torrossa.com
As semiotic beings, we build our understanding of the discourses we participate in, and
more generally of the world around us, by integrating signs in different modalities into …
more generally of the world around us, by integrating signs in different modalities into …
[PDF][PDF] Newsscape and the distributed little red hen lab: A digital infrastructure for the large-scale analysis of TV broadcasts
P Uhrig - Anglistentag, 2017 - researchgate.net
Up and until recently, the analysis of audiovisual media had to rely on relatively small
datasets due to the need to transcribe the spoken words and manually annotate the images …
datasets due to the need to transcribe the spoken words and manually annotate the images …
Gesture retrieval and its application to the study of multimodal communication
Comprehending communication is dependent on analyzing the different modalities of
conversation, including audio, visual, and others. This is a natural process for humans, but in …
conversation, including audio, visual, and others. This is a natural process for humans, but in …