Market and end-users press content industry to reduce prices. This is presently the only solution to setup viable and sustainable business activities with e-content. Production costs have to be drastically reduced maintaining product quality. Content providers, aggregators and distributors need innovative instruments to increase efficiency. A solution is automating, accelerating and restructuring the production process to make it faster and cheaper. The goals will be reached by: (i) accelerating and reducing costs for content production with artificial intelligence algorithms for content composition and formatting and workflow, (ii) reducing distribution and aggregation costs, increasing accessibility, with a P2P platform at B2B level integrating content management systems and workflows, (iii) providing algorithms and tools for innovative and flexible Digital Rights Management, exploiting MPEG-21 and overcoming its limits, supporting several business and transactions models. AXMEDIS consortium (producers, aggregators, distributors and researcher) will create the AXMEDIS framework with innovative methods and tools to speed up and optimise content production and distribution, for production-on-demand. The content model and manipulation will exploit and expand MPEG-4, MPEG-7 and MPEG-21 and others real and de-facto standards. AXMEDIS will realize demonstrators, validated by means of real activities with end-user by leading distributor partners: (i) tools for content production and B2B distribution; (ii) content production and distribution for i-TV-PC, PC, kiosks, mobiles, PDAs. The most relevant result will be to transform the demonstrators into sustainable business models for products and services during the last project year. Additional demonstrators will be 2-3 associated projects launched as take up actions. The project will be supported by activities of training, management, assessment and evaluation, dissemination and demonstration at conference and fairs.<\/p>\n","protected":false},"featured_media":12007,"template":"","meta":{"_acf_changed":false},"gruppo":[],"class_list":["post-19736","projects","type-projects","status-publish","has-post-thumbnail","hentry"],"acf":{"title":"Automating Production of Cross Media Content for Multichannel Distribution","acronym":"AXMEDIS","project_uuid":"c7e280c2-6418-11e4-917d-127e8ddc4b30","start_date":"01\/09\/2004","end_date":"31\/08\/2008","funder":"EU FP6","partners":"\n
| Nome<\/th>\n | Nazione<\/th>\n | Ruolo<\/th>\n <\/tr>\n\n |
|---|---|---|
| Universit\u00e0 degli Studi di Firenze (Dipartimento di Sistemi ed Informatica)<\/a><\/td>\n | Italy<\/td>\n | Coordinator<\/td>\n <\/tr>\n\n |
| Associazione dei Fonografici Italiani<\/a><\/td>\n | Italy<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Comverse Ltd<\/a><\/td>\n | Italy<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Consorzio Pisa Ricerche<\/a><\/td>\n | Italy<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Ecole Polytechnique Federale de Lausanne<\/a><\/td>\n | Switzerland<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Eutelsat SA<\/td>\n | France<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Exitech Srl<\/a><\/td>\n | Italy<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Fondazione Accademia Nazionale Santa Cecilia<\/a><\/td>\n | Italy<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Fraunhofer-Gesellschaft Zur Foerderung Der Angewandten Forschung E.V<\/a><\/td>\n | Germany<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Fundacio Barcelona media Universitat Pompeu Fabra<\/a><\/td>\n | Spain<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Hewlett Packard Italiana Srl<\/td>\n | Italy<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| On demand distribution Limited<\/td>\n | United Kingdom<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Sejer Representing Boards and Nathan<\/td>\n | France<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Tiscali s.p.a<\/a><\/td>\n | Italy<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| University of Leeds<\/a><\/td>\n | United Kingdom<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| University of Reading<\/a><\/td>\n | United Kingdom<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| XIM Limited<\/a><\/td>\n | United Kingdom<\/td>\n | Partner<\/td>\n <\/tr>\n<\/table>","proj_website":"http:\/\/cordis.europa.eu\/ist\/kct\/axmedis_synopsis.htm","project_status":"Completed","project_coordinator":[{"ID":10528,"post_author":"4","post_date":"2025-06-30 17:25:00","post_date_gmt":"2025-06-30 15:25:00","post_content":"Gavino Paddeu is head of Network Distributed Applications area of CRS4. He got a Laurea degree in Physics from the University of Cagliari (Italy). He spent about one year at the Facult\u00e9s Universitaires de Namur (Belgium) as a postdoctoral fellow in the area of computer graphics. There he developed software for 3D molecular visualization. He also taught graduate and post-graduate courses in computer graphics and Internet applications. His current research interests include distributed applications, programming paradigms for multi-device user interfaces, mobile and intelligent agents. Application domains include ecommerce, touristic applications, and cultural heritage management. He has published papers in books, international journals and conference proceedings.","post_title":"Gavino Paddeu","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"gavino-paddeu","to_ping":"","pinged":"","post_modified":"2026-04-05 20:13:03","post_modified_gmt":"2026-04-05 18:13:03","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/gavino-paddeu\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"}],"team_members":[{"ID":10187,"post_author":"4","post_date":"2025-06-30 17:22:28","post_date_gmt":"2025-06-30 15:22:28","post_content":"Maria Laura Clemente, senior technologist, holds a master's degree in Civil Engineering (1994) and has been working at CRS4 since 1996. She has been involved in research and development activities from embedded systems to web services (back-end and front-end), using many programming languages, such as Python, Javascript, C, C++ and Java. She develops applications in microservice-based architectures, using Docker, Fiware, and experiments Kubernetes as orchestrator. She has developed microscopic traffic simulations with SUMO (sumo.dlr.de). She is experienced in Artificial Intelligent algorithms for content personalization, recommender systems, object detection and tracking, time series analysis and prediction. She also gained experience in project proposals for national and European calls. She has worked in projects funded by industrial partners, EU, and by the Italian Ministry of Education, University, and Research. She has served as expert for the European Commission in the review of H2020 project proposals. She enjoys her work very much and is always enthusiastic about working at CRS4.","post_title":"Maria Laura Clemente","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"maria-laura-clemente","to_ping":"","pinged":"","post_modified":"2026-04-05 20:10:33","post_modified_gmt":"2026-04-05 18:10:33","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/maria-laura-clemente\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"}]},"yoast_head":"\n |