Search results for "VISION"
showing 10 items of 5066 documents
Streaming: ventajas, desafíos y oportunidades de las radiotelevisiones para captar audiencias
2021
La investigación muestra el crecimiento del consumo de streaming en los últimos años y refleja su incremento exponencial a raíz de la pandemia por la Covid 19 en 2020. La base científica cita a los autores más relevantes en esta temática y está avalada por los estudios e informes de organismos oficiales y privados de relevancia internacional. Se estudia el origen del streaming, su evolución y futuro con la ayuda de las nuevas herramientas tecnológicas, como las appsque permiten a los periodistas y al público poder entrar en directo en un informativo. Ello suponenuevas oportunidades de negocio para las radiotelevisiones generalistas creadoras de contenido en España. La investigación muestra …
Assessment of ecosystem integrity and service gradients across Europe using the LTER Europe network
2015
Better integration of knowledge from ecological, social and economic science is necessary to advance the understanding and modelling of socio-ecological systems. To model ecosystem integrity (EI) and ecosystem services (ES) at the landscape scale, assessment matrices are commonly used. These matrices assign capacities to provide different services to different land cover types. We revised such an existing matrix and examined the regional heterogeneity in EI and ES provision in Europe and searched for spatial gradients in their provision to elucidate their suitability for large-scale EI and ES mapping in Europe. Overall, 28 sites belonging to the Long-Term Ecological Research network in Euro…
Family Activity Patterns as related to the symmetry in the division of labour in the family, children’s socialization to work and the significance of…
1986
The paper is based on empirical material collected in connection with the research project ‘Way of life in the family parental awareness of parenthood, and children’s social development’. The sample consisted of 212 families with both parents and a six-year-old child. It was relatively homogeneous with regard to the educational background of the parents. Comparisons were made between groups of families which differed with regard to (1) symmetry in the division of labour, (2) socialization of children to work, and (3) the relative significance of work vs. family life to the parents. Symmetry in the division of labour was strongly reflected in the family time consumption patterns and their co…
Risk Disclosure in the European Banking Industry: Qualitative and Quantitative Content Analysis Methodologies
2022
This book aims to shed light on the advantages and disadvantages of both qualitative and quantitative content analysis methodologies by examining risk disclosure practices in the European banking industry. Content analysis methodologies allow to assess the level of transparency of financial and non-financial reports by focusing on the information disclosed to the public with reference to their risk exposure and management. There is an ongoing debate in the literature to understand whether qualitative or quantitative content analysis methodologies are more effective and useful to analyse disclosure practices. Some authors contend that qualitative methodologies may be more appropriate because…
Exception-Tolerant Hierarchical Knowledge Bases for Forward Model Learning
2021
This article provides an overview of the recently proposed forward model approximation framework for learning games of the general video game artificial intelligence (GVGAI) framework. In contrast to other general game-playing algorithms, the proposed agent model does not need a full description of the game but can learn the game's rules by observing game state transitions. Based on hierarchical knowledge bases, the forward model can be learned and revised during game-play, improving the accuracy of the agent's state predictions over time. This allows the application of simulation-based search algorithms and belief revision techniques to previously unknown settings. We show that the propose…
The indexing of persons in news sequences using audio-visual data
2004
We describe a video indexing system that automatically searches for a specific person in a news sequence. The proposed approach combines audio and video confidence values extracted from speaker and face recognition analysis. The system also incorporates a shot selection module that seeks for anchors, where the person on the scene is likely speaking. The system has been extensively tested on several news sequences with very good recognition rates.
Kernels for Remote Sensing Image Classification
2015
Classification of images acquired by airborne and satellite sensors is a very challenging problem. These remotely sensed images usually acquire information from the scene at different wavelengths or spectral channels. The main problems involved are related to the high dimensionality of the data to be classified and the very few existing labeled samples, the diverse noise sources involved in the acquisition process, the intrinsic nonlinearity and non-Gaussianity of the data distribution in feature spaces, and the high computational cost involved to process big data cubes in near real time. The framework of statistical learning in general, and of kernel methods in particular, has gained popul…
Detection of power line insulators on digital images with the use of laser spots
2019
The massive growth of technologies used to register and process digital images allow for their application in evaluating the technical condition of power lines. However, it is not possible without a set of dedicated methods for obtaining diagnostic information based on registered video data. The method described here details the detection of power line insulators in digital images featuring diversified backgrounds using laser spots. The algorithm of detecting an insulator in analysed images is based on testing the digital signal of pixel intensity profiles read between subsequent pairs of laser points in the image. The method is comprised of the following stages: import the image with laser…
Optimized spatio-temporal descriptors for real-time fall detection: comparison of support vector machine and Adaboost-based classification
2013
We propose a supervised approach to detect falls in a home environment using an optimized descriptor adapted to real-time tasks. We introduce a realistic dataset of 222 videos, a new metric allowing evaluation of fall detection performance in a video stream, and an automatically optimized set of spatio-temporal descriptors which fed a supervised classifier. We build the initial spatio-temporal descriptor named STHF using several combinations of transformations of geometrical features (height and width of human body bounding box, the user’s trajectory with her/his orientation, projection histograms, and moments of orders 0, 1, and 2). We study the combinations of usual transformations of the…
Modular Method of Detection, Localization and Counting of Mutliple-Taxon Pollen Apertures Using Bag of Words
2014
International audience; Accurate recognition of airborne pollen taxa is crucial for understanding and treating allergic diseases, which affect an important proportion of the world population. Modern computer vision techniques enables the detection of discriminant characteristics. Apertures is one of these characteristic that has been little explored up to now. In this paper, a flexible method of detection, localization and counting of apertures of different pollen taxa with varying appearances is proposed. Apertures are described based by primitive images following the Bag-of-Words strat-egy. A confidence map is estimated based on the classification of sampled regions. The method is designe…