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Find the most recent information on EU Funding activities in the field of Information and Communication Technologies (ICT) by visiting our ICT in FP7 website, which covers ICT in the 7th Framework Programme (FP7) 2007 - 2013.

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aceMedia - create, communicate, find, consume, re-use

The aim of aceMedia has been to create a framework, combining advances in knowledge, semantics and multimedia processing technologies, to support self-analysing, self-annotating, and self-adapting content.

Impact

Users in the future will access multimedia content using a variety of devices such as mobile phones and set-top-boxes, as well as via broadband cable or wireless to their PC. aceMedia research outcomes will assist users interacting with their multimedia content through innovative search technologies, automated indexing and cataloguing methods, and content adaptation to best match the user's available device and environment. aceMedia technologies will be supported by innovative user interfaces enabling advanced functionality such as intelligent search and retrieval, self-organising content, and self-adapting content to be enjoyed by both professional content providers and end consumers.

Main innovation

The main technological objectives of aceMedia has been to discover and exploit knowledge inherent in multimedia content in order to make content more relevant to the user; to automate annotation at all levels; and to add functionality to ease content creation, transmission, search, access, consumption and re-use.

A key element in realising these objectives in the aceMedia project has been the creation of the concept of the Autonomous Content Entity. An ACE comprises content, plus metadata and an intelligence layer which can adopt autonomous actions on behalf of users. Such a concept is fundamentally challenging to realise since we allow the ACE to be distributed (not all components necessarily exist in the same physical location), and we have to implement a full content value chain and network environment which enables the ACE to be created, transformed, consumed and deleted.

Read more about the ACE Architecture.

Results

Progress in aceMedia has led to development of tools for Knowledge Assisted Analysis. Knowledge Assisted Analysis modules, based on the developed aceMedia multimedia ontology infrastructure, provide the means for automated annotation of image and video content. Additional analysis tools such as scene classification, face/person detection and recognition, as well as ontological text analysis, have been developed and enhanced.

To support content adaptation, aceMedia partners have developed innovative scalable video codec technology, including a scalable metadata codec. Submissions to MPEG standards have been made. Combining these codecs with real-time content adaptation tools and a content delivery platform has been further developed.

System level design has progressed significantly, with the development of the aceMedia architecture, and a working research prototype of the Personal Content Services application framework. Further progress has been made in the application showcase areas of personalisation and intelligent search and retrieval.

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