Evaluating real-life performance of the state-of-the-art in facial expression recognition using a novel YouTube-based datasets

Facial expression recognition (FER) is one of the most active areas of research in computer science, due to its importance in a large number of application domains. Over the years, a great number of FER systems have been implemented, each surpassing the other in terms of classification accuracy. How...

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Veröffentlicht in:	Multimedia tools and applications 2018, Vol.77 (1), p.917-937
Hauptverfasser:	Siddiqi, Muhammad Hameed, Ali, Maqbool, Abdelrahman Eldib, Mohamed Elsayed, Khan, Asfandyar, Banos, Oresti, Khan, Adil Mehmood, Lee, Sungyoung, Choo, Hyunseung
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Communication Networks Computer Science Data Structures and Information Theory Datasets Face recognition Internet resources Multimedia Information Systems Special Purpose and Application-Based Systems State of the art Systems analysis
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