This paper aims to investigate whether micro-facial movement sequences can be distinguished from neutral face sequences. As a micro-facial movement tends to be very quick and subtle, classifying when a movement occurs compared to the face without movement can be a challenging computer vision problem. Using local binary patterns on three orthogonal planes and Gaussian derivatives, local features...

This paper introduces a very compact yet discriminative video description, which allows example-based search in a large number of frames corresponding to thousands of hours of video. Our description extracts one descriptor per indexed video frame by aggregating a set of local descriptors. These frame descriptors are encoded using a time-aware hierarchical indexing structure. A modified temporal...

the purpose of this work is to develop robust and interpretable quantitative structure”activity relationship (qsar) models for assessing the aquatic toxicity of phenols using a combined set of descriptors encompassing the logp and recently developed variables (monconn-z variables). the used dataset consists of 250 chemicals with toxicity data to the ciliate tetrahymena pyriformis. for each com...

Our system performs late fusion of several features whose weights have been optimized on UCF50 dataset. The fusion is done over the following features: 1) Our newly developed fast local descriptors for HoG and HoF, both grey-scale and RGB. In RGB-HoG/HoF we compute the dense HoG and HoF descriptors for all color channels and concatenate them. To obtain a single vector per video, we use the Fish...

CUIDADO [16] and ECRINS [7] are new projects which aims at providing content-based music applications . Among these applications is an authoring tool for managing sample databases. It includes search by similarity, search by textual attributes, but also automatic sound classification based on predefined taxonomies and user defined taxonomies. This last point raises a crucial issue concerning th...

The Poincaré map is a visual technique to recognize the hidden correlation patterns of a time series signal. The standard descriptors of the Poincaré map are used to quantify the plot that measures the gross variability of the time series data. However, the problem lies in capturing temporal information of the plot quantitatively. In this article, we propose a new formulation for calculating th...

Facial expression causes different parts of the facial region to change over time and thus dynamic descriptors are inherently more suitable than static descriptors for recognising facial expressions. In this paper, we extend the spatial pyramid histogram of gradients to spatio-temporal domain to give 3-dimensional facial features and integrate them with dense optical flow to give a spatio-tempo...

Classic transformation methods have been widely and efficiently used in image processing areas, such as image de-noising, image segmentation, feature detection, and compression. Based on their compact signal and image representation ability, we apply the transform based techniques on the video recognition area to extract discriminative information from each given video sequence, and use the tra...

New microscope technologies are enabling the acquisition of large volumes of live cell image data. Accurate temporal object tracking is required to facilitate the analysis of this data. One principal component of cell tracking is correspondence, matching cells between consecutive frames. This component can be enhanced by incorporating shape metrics into the tracking model. The measure of shape ...

PURPOSE Health systems around the world are struggling to meet the needs of aging populations and increasing numbers of clients with complex health conditions. Faced with multiple health system challenges, governments are advocating for team-based approaches to health care. Key descriptors used to describe health care teams include "interprofessional," "multiprofessional," "interdisciplinary," ...