Large-Scale Analysis for Interactive Media Consumption

Over the years the fidelity and quantity of TV content has steadily increased, but consumers are still experiencing considerable difficulties in finding the content matching their personal interests. New mobile and IP consumption environments have emerged with the promise of ubiquitous delivery of desired content, but in many cases, available content descriptions in the form of electronic program guides lack sufficient detail and cumbersome human interfaces yield a less than positive user experience. Creating metadata through a detailed manual annotation of TV content is costly and, in many cases, this metadata may be lost in the content life-cycle as assets are repurposed for multiple distribution channels. Content organization can be daunting when considering domains from breaking news contributions, local or government channels, live sports, music videos, documentaries up through dramatic series and feature films. As the line between TV content and Internet content continues to blur, more and more long tail content will appear on TV and the ability to be able to automatically generate metadata for it becomes paramount. Research results from several disciplines must be brought together to address the complex challenge of cost effectively augmenting existing content descriptions to facilitate content personalization and adaptation for users given todays range of content consumption contexts.