Objective ICT-2013.4.1a Cross-media content analytics

Funding Schemes: STREP, CSA

Indicative budget distribution STREP: EUR 21 million

Call: FP7-ICT-2013-10

a) Cross-media content analytics

Innovative methods and tools for mining unstructured information embedded in text, speech, audio and video for the purposes of context-aware interpretation, correlation, aggregation and summarisation, turning information into usable understanding and actionable knowledge. Special emphasis is placed on social and collective intelligence from multilingual sources. Projects shall achieve broad coverage with efficient semantic interpretation. Of specific interest is the ability to capture sentiment and represent concepts and events, identify relations and similarities, interpreting time and space, within and across individual media, thus increasing our ability to detect and exploit otherwise hidden meaning across a range of applications.

The call invites:

• (i) a few ambitious R&D projects investigating new approaches and research avenues well beyond the current state of the art; projects will be centred on cross-disciplinary approaches and partnerships, and address multimedia content and multimodal interaction; they will encompass everyday language as found in e.g. consumer generated content, cover multiple languages, and cater for written and/or spoken language as appropriate; technologies shall be adaptive, cope with massive volumes of content, and have a clear potential to support real-life processes;

• (ii) one broad-based support action designed to establish a unifying roadmap in each of the domains under consideration, developing a compelling research and innovation agenda until and beyond 2020, centred on close collaboration between research centres and commercial players (particularly SMEs), and based upon agreed reference architectures, common resources (standards, software, data), and shared development and evaluation facilities.