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Pouya Ghaemmaghami presents a poster at ICIAP 2015
18th International Conference on Image Analysis and Processing (ICIAP 2015) took place in Genova from Septermber 7th to September 11th. At the conference, Pouya Ghaemmaghami presented a poster entitled "Movie Genre Classification by Exploiting MEG Brain Signals".
Genre classification is an essential part of multimedia content recommender systems. In this study, we provide experimental evidence for the possibility of performing genre classification based on brain recorded signals. The brain decoding paradigm is employed to classify magnetoencephalography (MEG) data into four genre classes: Comedy, Romantic, Drama, and Horror. The results show that: 1) there is a significant correlation between audio-visual features of movies and corresponding brain signals specially in the visual and temporal lobes; 2) the genre of movie clips can be classified with an accuracy significantly over the chance level using the MEG signal. On top of that the combination of multimedia features and MEG-based features achieved the best accuracy. The study provides a primary step towards user-centric media content retrieval using brain signals.