Amanote Research

Amanote Research

    RegisterSign In

A Bayesian Framework for Video Affective Representation

doi 10.1109/acii.2009.5349563
Full Text
Open PDF
Abstract

Available in full text

Date

September 1, 2009

Authors
Mohammad SoleymaniJoep J.M. KierkelsGuillaume ChanelThierry Pun
Publisher

IEEE


Related search

A Bayesian Framework for Active Learning

2010English

LIRIS-ACCEDE: A Video Database for Affective Content Analysis

IEEE Transactions on Affective Computing
Human-Computer InteractionSoftware
2015English

A Bayesian Probabilistic Framework for Rain Detection

Entropy
Electronic EngineeringInformation SystemsMathematical PhysicsElectricalAstronomyPhysics
2014English

Exploiting Facial Expressions for Affective Video Summarisation

2009English

A Bayesian Framework for Modeling Intuitive Dynamics

2006English

Framework for a Bayesian Network Version of IDHEAS

2015English

A Bayesian Framework for Gaussian Mixture Background Modeling

English

A Framework for End-To-End Video Quality Prediction of MPEG Video

Journal of Visual Communication and Image Representation
Electronic EngineeringMedia TechnologySignal ProcessingComputer VisionElectricalPattern Recognition
2010English

A Bayesian Framework for Quantifying Uncertainty in Stochastic Simulation

Operations Research
Management ScienceComputer Science ApplicationsOperations Research
2014English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy