Extracting textual overlays from social media videos using neural networks

Textual overlays are often used in social media videos as people who watch them without the sound would otherwise miss essential information conveyed in the audio stream. This is why extraction of those overlays can serve as an important meta-data source, e.g. for content classification or retrieval tasks. In this work, we present a robust method for extracting textual overlays from videos that builds up on multiple neural network architectures. The proposed solution relies on several processing steps: keyframe extraction, text detection and text recognition. The main component of our system, i.e. the text recognition module, is inspired by a convolutional recurrent neural network architecture and we improve its performance using synthetically generated dataset of over 600,000 images with text prepared by authors specifically for this task. We also develop a filtering method that reduces the amount of overlapping text phrases using Levenshtein distance and further boosts system's performance. The final accuracy of our solution reaches over 80A% and is au pair with state-of-the-art methods.Comment: International Conference on Computer Vision and Graphics (ICCVG) 201

Critical Realism and Ecological Economics: Counter-Intuitive Adversaries or Ostensible Soulmates?

The paper questions the compatibility of critical realism with ecological economics. In particular, it is argued that there is radical dissonance between ontological presuppositions of ecological economics and critical realist perspective. The dissonance lies in the need of ecological economics to state strict causal regularities in socio-economic realm, given the environmental intuitions about the nature of economy and the role of materiality and non-human agency in persistence of economic systems. Using conceptual apparatus derived from Andrew Brown’s critique of critical realism and Bruno Latour’s actor-network theory, the paper refuses ontological nature/society dualism employed by critical realism, and stresses the role of non-humans in practical production and reproduction of socio-economic networks on the one hand, and in broadly defined ecological economic research on the other hand

Disentangling scale approaches in governance research: comparing monocentric, multilevel, and adaptive governance

The question of how to govern the multiscale problems in today’s network society is an important topic in the fields of public administration, political sciences, and environmental sciences. How scales are defined, studied, and dealt with varies substantially within and across these fields. This paper aims to reduce the existing conceptual confusion regarding scales by disentangling three representative approaches that address both governance and scaling: monocentric governance, multilevel governance, and adaptive governance. It does so by analyzing the differences in (1) underlying views on governing, (2) assumptions about scales, (3) dominant problem definitions regarding scales, and (4) preferred responses for dealing with multiple scales. Finally, this paper identifies research opportunities within and across these approaches

Aesthetic preference for art emerges from a weighted integration over hierarchically structured visual features in the brain

It is an open question whether preferences for visual art can be lawfully predicted from the basic constituent elements of a visual image. Moreover, little is known about how such preferences are actually constructed in the brain. Here we developed and tested a computational framework to gain an understanding of how the human brain constructs aesthetic value. We show that it is possible to explain human preferences for a piece of art based on an analysis of features present in the image. This was achieved by analyzing the visual properties of drawings and photographs by multiple means, ranging from image statistics extracted by computer vision tools, subjective human ratings about attributes, to a deep convolutional neural network. Crucially, it is possible to predict subjective value ratings not only within but also across individuals, speaking to the possibility that much of the variance in human visual preference is shared across individuals. Neuroimaging data revealed that preference computations occur in the brain by means of a graded hierarchical representation of lower and higher level features in the visual system. These features are in turn integrated to compute an overall subjective preference in the parietal and prefrontal cortex. Our findings suggest that rather than being idiosyncratic, human preferences for art can be explained at least in part as a product of a systematic neural integration over underlying visual features of an image. This work not only advances our understanding of the brain-wide computations underlying value construction but also brings new mechanistic insights to the study of visual aesthetics and art appreciation

Friends, Neighbours and Distant Partners: Extending or Decentring Family Relationships?

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Governing Networks and Rule-Making in Cyberspace

The global network environment defies traditional regulatory theories and policymaking practices. At present, policymakers and private sector organizations are searching for appropriate regulatory strategies to encourage and channel the global information infrastructure (“GII”). Most attempts to define new rules for the development of the GII rely on disintegrating concepts of territory and sector, while ignoring the new network and technological borders that transcend national boundaries. The GII creates new models and sources for rules. Policy leadership requires a fresh approach to the governance of global networks. Instead of foundering on old concepts, the GII requires a new paradigm for governance that recognizes the complexity of networks, builds constructive relationships among the various participants (including governments, systems operators, information providers, and citizens), and promotes incentives for the attainment of various public policy objectives in the private sector

Exploring the self-presentations of Indian IT professionals on social media

Self-presentations are goal-directed acts designed by individuals to convey particular images of their selves and thereby influence how they are perceived and treated by various audiences (Goffman, 1959). Recent literature suggests that individuals are increasingly interacting with their workplace colleagues on personal networking sites like Facebook and Twitter. In such overlapping interactions, individuals often move swiftly and in an asymmetric fashion between physical-virtual settings and personal-professional life. Presumably, diverse self-presentations across physical-virtual settings and personal-professional life may create conflicts or tensions. Drawing on 31 semi-structured interviews, this thesis explores the self-presentations of Indian IT professionals on social media. Overall, the analysis suggests that in most cases, respondents enacted diverse self-presentations across physical-virtual settings and personal-professional life. In such cases, they expressed concerns that overlapping audiences may view their self-presentations on social media out-of-context and inevitably misconstrue their professional image. From a theoretical perspective, the thesis illustrates that individuals who exercise region behavior experience cognitive discomfort when they enact self-presentations on social media as overlapping self-presentations are inevitable. From a practical perspective, empirical evidence suggests that employees take their interactions on social media seriously and thus dispute managers arguments that interacting on social media is merely a time-pass

Branding in a Hyperconnected World: Refocusing Theories and Rethinking Boundaries

Technological advances have resulted in a hyperconnected world, requiring a reassessment of branding research from the perspectives of firms, consumers, and society. Brands are shifting away from single ownership to shared ownership, as heightened access to information and people is allowing more stakeholders to cocreate brand meanings and experiences alongside traditional brand owners and managers. Moreover, hyperconnectivity has allowed existing brands to expand their geographic reach and societal roles, while new types of branded entities (ideas, people, places, and organizational brands) are further stretching the branding space. To help establish a new branding paradigm that accounts for these changes, the authors address the following questions: (1) What are the roles and functions of brands?, (2) How is brand value (co)created?, and (3) How should brands be managed? Throughout the article, the authors also identify future research issues that require scholarly attention, with the aim of aligning branding theory and practice with the realities of a hyperconnected world