HKBU at MediaEval 2017 Emotional impact of movies task

Yang LIU, Zhonglei Gu, Tobey H. Ko

Research output: Contribution to journalConference articlepeer-review

Abstract

In this paper, we describe our model designed for automatic prediction of emotional impact of movies. Specifically, a two-stage learning framework is proposed. First, the dimensionality reduction techniques are employed to discover the key emotion information embedded in the original feature space. Specifically, we use a classical method principal component analysis (PCA) and a new algorithm biased discriminant embedding (BDE) to learn the subspace. After dimensionality reduction, SVM is utilized for prediction. Experimental results validate the effectiveness of our approaches.

Original languageEnglish
JournalCEUR Workshop Proceedings
Volume1984
Publication statusPublished - 2017
Event2017 Multimedia Benchmark Workshop, MediaEval 2017 - Dublin, Ireland
Duration: 13 Sep 201715 Sep 2017

Scopus Subject Areas

  • Computer Science(all)

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