MEGC2022
Jingting Li, Moi Hoon Yap, Wen-Huang Cheng, John See, Xiaopeng Hong, Xiaobai Li, Sujing Wang, Adrian K. Davison, Yante Li, Zizhao Dong
2022Proceedings of the 30th ACM International Conference on Multimedia21 citationsDOIOpen Access PDF
Abstract
Facial micro-expressions (MEs) are involuntary movements of the face that occur spontaneously when a person experiences an emotion but attempts to suppress or repress the facial expression, typically found in a high-stakes environment. Unfortunately, the small sample problem severely limits the automation of ME analysis. Furthermore, due to the brief and subtle nature of ME, ME spotting is a challenging task, and the performance is still not satisfactory yet. This challenge focuses on two tasks, i.e., the micro- and macro-expression spotting task, and the ME Generation task.
Topics & Concepts
SpottingTask (project management)Computer scienceFacial expressionHuman–computer interactionAutomationFace (sociological concept)MacroExpression (computer science)Task analysisSample (material)Artificial intelligenceSpeech recognitionCognitive psychologyPsychologyEngineeringLinguisticsPhilosophyChemistrySystems engineeringChromatographyProgramming languageMechanical engineeringFace recognition and analysisFace and Expression RecognitionEmotion and Mood Recognition