Conversational scene analysis
Robust Real-Time Face Detection
International Journal of Computer Vision
Honest Signals: How They Shape Our World
Honest Signals: How They Shape Our World
Human-Computer Interaction
Automatic nonverbal analysis of social interaction in small groups: A review
Image and Vision Computing
Wearing a YouTube hat: directors, comedians, gurus, and user aggregated behavior
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Modeling dominance in group conversations using nonverbal activity cues
IEEE Transactions on Audio, Speech, and Language Processing - Special issue on multimodal processing in speech-based interactions
Crowdsourcing, attention and productivity
Journal of Information Science
Cross-domain personality prediction: from video blogs to small group meetings
Proceedings of the 15th ACM on International conference on multimodal interaction
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We introduce vlogs as a type of rich human interaction which is multimodal in nature and suitable for new large-scale behavioral data analysis. The automatic analysis of vlogs is useful not only to study social media, but also remote communication scenarios, and requires the integration of methods for multimodal processing and for social media understanding. Based on works from social psychology and computing, we first propose robust audio, visual, and multimodal cues to measure the nonverbal behavior of vloggers in their videos. Then, we investigate the relation between behavior and the attention videos receive in YouTube. Our study shows significant correlations between some nonverbal behavioral cues and the average number of views per video.