Multisensory 3D saliency for artficial attention systems

In this paper we present proof-of-concept for a novel solution consisting of a short-term 3D memory for artificial attention systems, loosely inspired in perceptual processes believed to be implemented in the human brain. Our solution supports the implementation of multisensory perception and stimulus-driven processes of attention. For this purpose, it provides (1) knowledge persistence with temporal coherence tackling potential salient regions outside the field of view, via a panoramic, log-spherical inference grid; (2) prediction, by using estimates of local 3D velocity to anticipate the effect of scene dynamics; (3) spatial correspondence between volumetric cells potentially occupied by proto-objects and their corresponding multisensory saliency scores. Visual and auditory signals are processed to extract features that are then filtered by a proto-object segmentation module that employs colour and depth as discriminatory traits. We consider as features, apart from the commonly used colour and intensity contrast, colour bias, the presence of faces, scene dynamics and also loud auditory sources. Combining conspicuity maps derived from these features we obtain a 2D saliency map, which is then processed using the probability of occupancy in the scene to construct the final 3D saliency map as an additional layer of the Bayesian Volumetric Map (BVM) inference grid

Social media and social class

Background: This paper explores the relationship between social class and social media use, and draws upon the work of Bourdieu examining class in terms of social, economic and cultural capital. The paper starts from a prior finding that those who predominantly only use social media formed a higher proportion of internet users from lower socio-economic groups. Data: Drawing on data from two nationally representative UK surveys the paper makes use of the Ofcom Media Literacy survey (n ≈ 1800 per annum) and the Department of Digital, Culture, Media and Sport Taking Part survey (n ≈ 10,000 per annum). Methods: Following Yates, et al. (2015a), five types of internet behaviour and eight types of internet user are identified utilising a principal components analysis and k-means clustering. These internet user types are then examined against measures of social, economic and cultural capital. Data on forms of cultural consumption and digital media use are examined using multiple correspondence analysis. Findings: The paper concludes that forms of digital media use are in correspondence with other social, cultural and economic aspects of social class status and contemporary social systems of distinction

Monitoring international migration flows in Europe. Towards a statistical data base combining data from different sources

The paper reviews techniques developed in demography, geography and statistics that are useful for bridging the gap between available data on international migration flows and the information required for policy making and research. The basic idea of the paper is as follows: to establish a coherent and consistent data base that contains sufficiently detailed, up-to-date and accurate information, data from several sources should be combined. That raises issues of definition and measurement, and of how to combine data from different origins properly. The issues may be tackled more easily if the statistics that are being compiled are viewed as different outcomes or manifestations of underlying stochastic processes governing migration. The link between the processes and their outcomes is described by models, the parameters of which must be estimated from the available data. That may be done within the context of socio-demographic accounting. The paper discusses the experience of the U.S. Bureau of the Census in combining migration data from several sources. It also summarizes the many efforts in Europe to establish a coherent and consistent data base on international migration. The paper was written at IIASA. It is part of the Migration Estimation Study, which is a collaborative IIASA-University of Groningen project, funded by the Netherlands Organization for Scientific Research (NWO). The project aims at developing techniques to obtain improved estimates of international migration flows by country of origin and country of destination

Mind the (cultural) gap: International news channels and the challenge of attracting Latin American audiences

This article explores the role of cultural proximity in the perception of international news channels in Latin America by focusing on the cases of CGTN (China), RT (Russia) and HispanTV (Iran). Instrumental to the public diplomacy strategies of their home countries, the success of international broadcasters depends on if/whether audiences accept them. Based on a series of focus groups conducted in Mexico and Argentina, this article argues that cultural proximity strongly influences viewers’ aesthetic experience. The findings show that international broadcasters from culturally distant countries bridge the cultural gap by evoking the style of western broadcasters while dissociating themselves from perceived negative images of their own countries of origin. At a deeper level, cultural proximity entails inclusionary and exclusionary processes even within subcultural spheres. Finally, the findings also show how issues of representation can undermine channel identification by audiences