Zhonglei Gu

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In this paper, we describe the models designed for automatically selecting multimedia data, e.g., image and video segments , which are considered to be interesting for a common viewer. Specifically, we utilize an existing dimensionality reduction method called Neighborhood MinMax Projections (NMMP) to extract the low-dimensional features for predicting the(More)
In this paper, we describe the methods designed for extracting the affective features from the given music and predicting the dynamic emotion ratings along the arousal and valence dimensions. The algorithm called Arousal-Valence Similarity Preserving Embedding (AV-SPE) is presented to extract the intrinsic features embedded in music signal that essentially(More)
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