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

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.