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Ever increasing volumes of media content and the desire to extract information from media archives motivate the studies into semantic audio information mining. Much research in this filed concerns development of bespoke systems, in which soundtracks are exclusively classified and segmented, and a specific type of sound is recognized and analyzed. This approach however is detrimental to the complete...
Electrocardiogram (ECG) reflects the activities of the human heart and reveals hidden information on its structure and behaviour. The information is extracted to gain insights that assist explanation and identification of diverse pathological conditions. This was traditionally done by an expert through visual inspection of ECGs. The complexity and tediousness of this onus hinder long-term monitoring...
Much content related information can be extracted from recorded soundtracks, such as those of multimedia files. The soundtracks might be heuristically classified into three categories namely speech, music and ambient or event sounds. Research in the past focused on algorithms to classify audio clips in an exclusive manner. However, soundtracks from media content are often presented as overlapped mixtures...
A curvature-adaptive simplification method for point-sampled geometry (PSG) that efficiently preserves the surface features is presented. The main idea of the method consists of focusing on the edge intensities of sample points and the similarity of geometry features of sample points. Using the eigen analysis of normal voting tensor, with every point of PSG, an edge intensity is associated by which...
Motion perception and recognition by trajectory are important for motion analysis. A flexible and adaptable descriptor of motion trajectory plays important role in the performance of perception and recognition. Motion trajectories usually use raw data for many tasks, which is not effective. Shape descriptors and signature of differential invariants are good for local features but global feature is...
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