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An experimental comparison of shape classification methods based on autoregressive modeling and Fourier descriptors of closed contours is carried out. The performance is evaluated using two independent sets of data: images of letters and airplanes. Silhouette contours are extracted from non-occluded 2-D objects rotated, scaled and translated in 3-D space.(More)
This paper describes revised content-based search experiments in the context of TRECVID 2003 benchmark. Experiments focus on measuring content-based video retrieval performance with following search cues: visual features, semantic concepts and text. The fusion of features uses weights and similarity ranks. Visual similarity is computed using Temporal(More)
Context-aware devices are able to take advantage of fusing sensory and application specific information to provide proper information on a situation, for more flexible services, and adaptive user interfaces (UI). It is characteristic for handheld devices and their users that they are continuously moving in several simultaneous fuzzy contexts. The dynamic(More)
OBJECTIVE We studied the spectral characteristics of the EEG burst suppression patterns (BSP) of two intravenous anesthetics, propofol and thiopental. Based on the obtained results, we developed a method for automatic segmentation, classification and compact presentation of burst suppression patterns. METHODS The spectral analysis was performed with the(More)
This paper describes cluster-temporal browsing of news video database. Cluster-temporal browsing combines content similarities and temporal adjacency into single representation. Visual, conceptual and lexical features are used to organize and view similar shot content. Interactive experiments with eight test users have been carried out using a database of(More)
In this paper, experiments on the automatic discrimination of basic emotions from spoken Finnish are described. For the purpose of the study, a large emotional speech corpus of Finnish was collected; 14 professional actors acted as speakers, and simulated four primary emotions when reading out a semantically neutral text. More than 40 prosodic features were(More)
An emotional speech corpus of Finnish was collected that includes utterances of four emotional states of speakers. More than 40 prosodic features were derived and automatically computed for the speech samples. Statistical classification experiments with kNN classifier and human listening tests indicate that emotion recognition performance comparable to(More)
The purpose of this study was to assess the differences in cardiac autonomic modulation during maximal static (SA) and dynamic (DA) underwater apneas. Arterial oxygen saturation (SpO(2)), heart rate (HR) and HR variability (SD1 from Poincaré plot and short-term fractal-like scaling exponent, α(1)) were analyzed at the immersed baseline (3 min) and initial,(More)