A Viewer Preference Model Based on Physiological Feedback

A Viewer Preference Model Based on Physiological Feedback

A movie recommendation system is proposed to learn a preference model of a viewer by using multimodal features of a video content and their evoked implicit responses of the viewer in synchronized manner. In this system, facial expression, body posture, and physiological signals are measured to estimate the affective states of the viewer, in accordance with the stimuli consisting of low-level an...

mortality forecasting based on lee-carter model

over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...

Viewer Preference of Aesthetic Pose Quality in a Gesture Corpus

This paper describes a computational aesthetics approach to inferring the quality of poses in a gesture corpus. We describe experimental design, feature implementation, and a pilot study. Motivation is taken from computational cinematography studies for virtual camera control. We apply similar methods to virtual character control, with the goal of enhancing avatar and NPC acting in cinematic vi...

Evaluating Preference-Based Feedback in Recommender Systems

A Web3D Based CAESAR Viewer

The CAESAR (Civilian American and European Surface Anthropometry Resource) project completed in 2002 has collected 3D scans of over 5000 subjects. We have created a 3D interface, the NIST CAESAR Viewer (NCV), utilizing the Virtual Reality Modeling Language (VRML) to provide 3D access via the Web. In addition to simply viewing the 3D scans we have augmented the display of the body with interacti...