This paper describes the construction of computable audio descriptors capable of modeling relevant high-level perceptual qualities of textural sounds. These qualities – all metaphoric bipolar and continuous constructs – have been identified in previous research: high–low, ordered– chaotic, smooth–coarse, tonal–noisy, and homogeneous– heterogeneous, covering timbral, temporal and structural prop...

PURPOSE To compare time domain (TD: peak time and amplitude) analysis of the human photopic electroretinogram (ERG) with measures obtained in the frequency domain (Fourier analysis: FA) and in the time-frequency domain (continuous (CWT) and discrete (DWT) wavelet transforms). METHODS Normal ERGs (n = 40) were analyzed using traditional peak time and amplitude measurements of the a- and b-wave...

level. The two most important functionalities provided by MPEG-7 are: the decomposition of media assets and the (semantic) annotation of their parts, which we include in our multimedia ontology. Decomposition. MPEG-7 provides descriptors for spatial, temporal, spatio-temporal and media source decompositions of multimedia content into segments. A segment is the most general abstract concept in M...

The study aimed to investigate the scientific literature on Public Humanization Policies, available in online periodicals, from 2009 to 2012, in the health field. This is an integrative literature review conducted in the Virtual Health Library databases: Latin-America and Caribbean Health Sciences (Lilacs) and the Scientific Electronic Library Online (SciELO) and Portal Capes. Data were collect...

We propose an audio-visual approach to video genre classification using content descriptors that exploit audio, color, temporal, and contour information. Audio information is extracted at blocklevel, which has the advantage of capturing local temporal information. At the temporal structure level, we consider action content in relation to human perception. Color perception is quantified using st...

We introduce a novel local spatio-temporal descriptor intended to model the spatio-temporal behavior of a tracked object of interest in a general manner. The basic idea of the descriptor is the accumulation of histograms of an image function value through time. The histograms are calculated over a regular grid of patches inside the bounding box of the object and normalized to represent empirica...

Tree-ring datasets are used in a variety of circumstances, including archeology, climatology, forest ecology, and wood technology. These data are based on microdensity profiles and consist of a set of tree-ring descriptors, such as ring width or early/latewood density, measured for a set of individual trees. Because successive rings correspond to successive years, the resulting dataset is a rin...

This thesis is concerned with determining similarity in musical audio, for the purpose of applications in music content analysis. With the aim of determining similarity, we consider the problem of representing temporal structure in music. To represent temporal structure, we propose to compute information-theoretic measures of predictability in sequences. We apply our measures to track-wise repr...

Nowadays the problem of semantic video indexing is of great interest due to the wide diffusion of large video databases. In this paper we present a semantic video indexing algorithm based on finite-state machines that exploits the temporal dependencies of low-level descriptors extracted from the MPEG compressed bit-stream. The performance of the proposed algorithm have been evaluated considerin...

We present a view independent algorithm for 3D human gait recognition. The identification of the person is achieved using motion data obtained by our markerless 3D motion tracking algorithm. We report its tracking accuracy using ground-truth data obtained by a markerbased motion capture system. The classification is done using SVM built on the proposed spatio-temporal motion descriptors. The id...