Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/67179
Title: Mining emotional features of movies
Authors: Liu, Y
Gu, Z
Zhang, Y
Liu, Y 
Issue Date: 2016
Publisher: CEUR-WS
Source: CEUR workshop proceedings, 2016, v. 1739 How to cite?
Journal: CEUR workshop proceedings 
Abstract: In this paper, we present the algorithm designed for mining emotional features of movies. The algorithm dubbed Arousal-Valence Discriminant Preserving Embedding (AV-DPE) is proposed to extract the intrinsic features embedded in movies that are essentially differentiating in both arousal and valence directions. After dimensionality reduction, we use the neural network and support vector regressor to make the final prediction. Experimental results show that the extracted features can capture most of the discriminant information in movie emotions.
Description: 2016 Multimedia Benchmark Workshop, MediaEval 2016, Netherlands, 20-21 October 2016
URI: http://hdl.handle.net/10397/67179
ISSN: 1613-0073
Appears in Collections:Conference Paper

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