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.
|Journal||CEUR Workshop Proceedings|
|Publication status||Published - 2016|
|Event||2016 Multimedia Benchmark Workshop, MediaEval 2016 - Hilversum, Netherlands|
Duration: 20 Oct 2016 → 21 Oct 2016
Scopus Subject Areas
- Computer Science(all)