Real-Time Multimedia Policy Analysis of Using Video and Audio Recognition from Radio, TV, and User-Generated Content

Real-Time Multimedia Policy Analysis of Using Video and Audio Recognition from Radio, TV, and User-Generated Content

T. Netousek (eMedia Monitor GmbH, Austria), H. Gugumuk (eMedia Monitor GmbH, Austria) and C. Beleznai (AIT Austrian Institute of Technology, Austria)
DOI: 10.4018/978-1-4666-6236-0.ch013
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Abstract

Real-Time Multimedia Content Analysis opens up exciting possibilities for accessing opinion-oriented arguments about regulations and dynamic policy changes. In this chapter, the authors present common methodologies and core technologies to analyse multimedia content from a practitioner's viewpoint, highlighting their primary impact, best practices, current limitations, and future trends. They illustrate the impact of multimedia content analysis within a governance-oriented applied context based on two use cases: one use case addresses the task regarding the improvement of certain KPIs (Key Performance Indicators) for the quality of living in a city by performing real-time analytics of TV news in order to assess public opinion and how it changes over time with respect to certain events or incidents; the second use case addresses search and data exploration within multimedia data to reveal certain correlations across space and time in order to retrieve meaningful information from unstructured sources of data, information which can effectively contribute to meeting the concrete needs of citizens.
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Background

Real-time multimedia content analysis, video and audio recognition for radio, TV and user-generated content for governance and policy applications have very important multidisciplinary implications in terms of technological and governmental aspects. In order to develop successful applications, we have to take into consideration the requirements, limitations, current developments and trends from both fields. Due to different viewpoints, research initiatives may not match stakeholders’ interests in every case. On the one side it is a political question, and on the other side mature applications or ideas are missing as to how people/governance can process large amounts of data (multimedia and user content). The question is how to integrate technology and governmental requirements. According to Mohanty & Nayak (2008), Information and Communication Technologies are necessary to improve the efficiency of government organisations; and there is a clear and evolving need for monitoring and analysis for policy life-cycle. Information Technology and governmental processes have a bi-directional influence on each other. On the one hand, technology is capable of shaping electoral mechanisms or political situations: “The Internet and social media in Kenya, which played a central role in this year's elections by allowing Kenyans to question candidates, took on a new function” (Abshir, 2013). On the other hand, as (Kim, 2011) showed in a Korean use case, policies and regulations have an impact on how broadcasting and telecommunications operate, as well as the convergence of electronic media changes the regulations.

When targeting the extraction of information relevant for the policy generation process, important issues of quality and quantity arise. Getting qualitative feedback on various actions, and preparing for structural, political changes (which occurred in the last years the user-generated data, and citizen involvement) is a key issue in policy modeling and governments. Analysts in governance and policy modeling need feedback to close the loop from generating policy proposals over the implementation to the impact assessment, and Information Technologies can support effective and faster policy making processes by extracting data.

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