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Music mood present the inherent emotional state of music on certain duration of music segment. However, the mood may vary in the music pieces. Thus it is important to investigate the duration of music segments which can best present the stable mood states in music. Four versions of music datasets with duration of clips from 4 seconds to 32 seconds are tested in this paper, and a cross test between...
Intelligent music navigation is one of the important tasks in today's music applications. In this context we propose several high-level musical similarity features that can be used in automatic music navigation, classification and recommendation. The features we propose use Continuous Wavelet-like Transform as a basic time-frequency analysis of a musical signal due to its flexibility in time-frequency...
A hidden Markov model (HMM) is employed in this paper to model the structure, and thus generate highlights, of table tennis games. Unlike existing approaches, we use only one HMM for the table tennis games, which combines domain knowledge during initialization, and can be easily adapted to new games through a training phase. Both the homogeneity and heterogeneity are taken into account during this...
As bearer of high level semantics, audio signal is being more and more used in content-based multimedia retrieval. In this paper, we investigate the ball hit detection for sports games and propose a novel approach to detect ball hits. By employing energy peak detection (EPD) and Mel frequency cepstral coefficient-based (MFCC-based) refinement (MBR), high precision (91%) and adequate recall (73%) of...
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