[Cite web | url=http://www.acemedia.org | title=aceMedia main website] ]Features of the aceMedia software include:
* it runs on several platforms (PC, set-top box, mobile phone, web interface)
* it manages different users that may that share content, and their associated access rights
* it includes image, language and video analysis functions that can automatically annotate content or handle textual queries in natural language
It was developed by 15 European partners [ [http://acemedia.org/aceMedia/partners/index.html aceMedia :: The aceMedia consortium ] ] that can be classified in:
* research laboratories that provide innovative technologies from their expertise fields
* high-tech companies that may re-use or sell (parts of) the software
* companies that manage image or video databases, that provide the test content
The project extended from 2004 to 2007, with the final review presented in February 2008.
Description
The software comes in two flavours, the Personal Content System (PCS) application for home users and the Commercial Content Management (CCM) framework.
The PCS app
The PCS is a GUI where the user can import images and videos, organise in folders, annotate them and call content analysis tools on them.
The content analysis tools include:
* a person detector that finds standing people in images
* a face analysis method that finds and recognizes faces in images
* a classifier that determines properties on a whole image (like whether it was taken from inside or outside, whether it was by night, etc.)
* a segmentation engine that detects textured areas on images (like trees, sky, rock, etc.)
The CCM app
It includes a web interface from which users can rate images and videos, and search them. Searching can be done with different criteria:
* textual search. Text queries in various languages are "understood" by the system, and searches are performed using all available information, including that from the image analysis algorithms
* global image similarity, using global image descriptors
* precise image similarity: the user can define image regions (s)he is interested in on an example image, and the system finds the most relevant images
A reasoning system combines annotations to make sure they are coherent. For example, on an image, a sky region is supposed to be above a rock region.
Architecture
The PCS application and most of the CCM application are based on a Java framework that manages the content (stored as files) and the metadata (stored in a MySQL database).
The content analysis tools are implemented in C or C++ and called by the framework.
The server side of the web interface is in C#.
Future
Some technologies developed during the lifespan of the project will be used by the participating companies. The main framework is to be published in open-source form.
References
