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We propose a Near-Duplicate Keyframe (NDK) retrieval method that can handle extreme zooming and significant object motion. The first stage consists of eliminating false keypoint matches using symmetric property and a ratio of nearest and second-nearest neighbor distances. Then, a pattern coherency score is assigned to each pair of keyframes. These two features are combined through linear discriminant...
In this paper, we study speaker characterization using prosodic supervectors with negative within-class covariance normalization (NWCCN) projection and speaker modeling with support vector regression (SVR). We also propose a segmental weight fusion (SWF) technique that combines acoustic and prosodic subsystems effectively, despite the big performance gap between the subsystems. We validate the effectiveness...
This paper presents a novel approach of discriminative acoustic feature extraction for speech recognition using output coding technique. A high dimensional feature space for higher discriminative capability is constructed by expanding MFCC coefficients with polynomial expansion. In order to fit the discriminative features in the hidden Markov model structure of speech recognition, the high dimensional...
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