BOUN-NKU in mediaeval 2017 emotional impact of movies task
Yükleniyor...
Dosyalar
Tarih
2017
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
CEUR-WS
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this paper, we present our approach for the Emotional Impact of Movies task of Mediaeval 2017 Challenge, involving multimodal fusion for predicting arousal and valence for movie clips. In our system, we have two pipelines. In the first one, we extracted audio/visual features, and used a combination of PCA, Fisher vector encoding, feature selection, and extreme learning machine classifiers. In the second one, we focused on the classifiers, rather than on feature selection. © 2017 Author/owner(s).
Açıklama
2017 Multimedia Benchmark Workshop, MediaEval 2017 -- 13 September 2017 through 15 September 2017 -- -- 131670
Anahtar Kelimeler
Learning systems, Motion pictures, Extreme learning machine, Fisher vectors, Movie clips, Multi-modal fusion, Feature extraction
Kaynak
CEUR Workshop Proceedings
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
1984
