In this paper, we propose to model an action based on both the shape and the motion of the object performing the action. When the object performs an action in 3D, the points on the outer boundary of the object are projected as 2D (x, y) contour in the image plane. A sequence of such 2D contours with respect to time generates a spatiotemporal volume (STV) in (x, y, t), which can be treated as 3D...

BACKGROUND Poincaré plot is one of the important techniques used for visually representing the heart rate variability. It is valuable due to its ability to display nonlinear aspects of the data sequence. However, the problem lies in capturing temporal information of the plot quantitatively. The standard descriptors used in quantifying the Poincaré plot (SD1, SD2) measure the gross variability o...

the present research has been carried out to study the structure of indexing language databases of irandoc. three databases have been selected as a sample: iranian dissertation abstracts. directory of scientific meetings held in iran. current research in iranian universities and research centers. some descriptors have been selected as a sample for study. to analyze the descriptors checklist was...

Recognizing human activities from video data is being leveraged for surveillance and human-computer interaction applications. In this paper, we introduce the problem of time-slice activity recognition which aims to explore human activity at a smaller temporal granularity. Time-slice recognition is able to infer human behaviors from a short temporal window. It has been shown that the temporal sl...

This paper proposes a novel content-based music genre classification method using temporal information and support vector machine. By processing of texture window statistics and delta computation, temporal information is incorporated to capture the time-varying behavior of music. 7 different temporal evolution descriptors applied in texture window are introduced in this paper, i.e., mean, stand...

Global crop mapping and monitoring requires high-resolution spatio-temporal information. In this regard, dual polarimetric Synthetic Aperture Radar (SAR) sensors provide high temporal spatial resolutions with large swath width. Generally, phenological development studies utilized SAR backscatter intensity-based descriptors. However, these descriptors are derived either from the covariance matri...

BACKGROUND A novel descriptor (Complex Correlation Measure (CCM)) for measuring the variability in the temporal structure of Poincaré plot has been developed to characterize or distinguish between Poincaré plots with similar shapes. METHODS This study was designed to assess the changes in temporal structure of the Poincaré plot using CCM during atropine infusion, 70° head-up tilt and scopolam...

The 13C chemical shifts for a series of compounds which includes carboxylic acids, aldehydes, ethers, ketones and hydrocarbons were simulated by using the parametric techniques. The observed chemical shifts were related to numerically encoded structural parametes called descriptors. Two new electronic descriptors were added to the previous descriptors. Ploting of experimental ver...

Audio content description is one of the key components to multimedia search, classification and source identification. This project examines precision of audio content description based on spectral information only on one hand, and spectral and temporal on the other. Multilayer neural network with varied parameters is used to classify musical instruments based on obtained descriptors.