- © SiGroViD
The aim of this project is to support security personnel at big events with remotely controlled drone-cameras monitoring the entire location, to automatically 3D reconstruct analyze the captured data and effectively visualize and highlight special events like violent behavior, emergence of panic, etc. In relationship to traditional installed cameras, drones allow a more flexible and comprehensive overview of the terrain, provide better analysis results and additionally reduce costs compared to the operation of helicopters.
more to: SiGroViD
- © LASIE
EU FP7 funded project LASIE - Large scale information exploitation of forensic data (01.05.2014 - 31.10.2017).
The LASIE project aims to design and implement an open and expandable framework that will significantly increase the efficiency of current investigation practices, by providing an automated initial analysis of the vast amounts of heterogeneous forensic data that analysts have to cope with. The framework will be able to handle forensic data that have been acquired from a variety of different sources including CCTV surveillance content, confiscated desktops and hard disks, mobile devices, Internet, social networks, handwritten and calligraphic documents.
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- © QuaVideo
QuaVideo - Video quality improvement based on long-term temporal trajectory filtering. Funded by BMBF (01.10.2013 - 30.11.2016).
With the convergence of internet and digital television, low quality internet video is now frequently displayed on ultra high resolution, high quality displays. Typical examples include low resolution and poor quality Youtube video and older amateur family video displayed on 4K devices. Typical MPEG coding artifacts, like blocking and smearing, appear very annoying when displayed at high resolutions.
Our challenge is the quality enhancement of legacy video to make content more appealing when viewed at large size displays. To this end we track motion information through hundreds of frames in the video scene to filter out noise and smearing artifacts. Our approach adapts to scene changes and varying content fully automatically and removes artifacts from hours of video.
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- © Copyright??
BMWi gefördertes Projekt NOST - iFore Crowd-geeignete Personenrückverfolgung (01.04.2015 - 30.09.2016).
In dem Projekt "Intelligente Forensik/Personenrückverfolgung in Videoarchiven", Kurzbezeichnung "iFore", soll der Prototyp einer Hardware-Software-Lösung zur schnellen und effizienten Auswertung von Video-Aufzeichnungen in Fahrzeugen des ÖPNV erarbeitet werden.
Dazu sollen markierte Personen automatisch durch ein Fahrzeug verfolgt und in weiteren Archivaufnahmen wieder gefunden werden können.
more to: NOST - iFore
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BMWi gefördertes Projekt PerimeterNetz (01.01.2015 - 31.12.2015).
Ziel ist der Schutz von abgelegenen, ausgedehnten Objekten mit öffentlichen Zugang. Dabei soll das eingesetzte Wachpersonal durch eine im Projekt prototypenhaft zu realisierende automatische Szeneinterpretation alarmiert werden. Die Szeneinterpretation stützt sich im gewählten Ansatz auf eine dezentrale Sensorik. Jeder Sensorknoten ist dabei in der Lage mithilfe moderner Deep Learning Technologien Objekte mit hoher Genauigkeit zu erkennen.
more to: PerimeterNetz
- © VideoSense
EU FP7 funded project VideoSense (2011-2015).
VideoSense will integrate leading European research groups to create a long-term open integration of critical mass in the twin areas of Ethically-Guided, and, Privacy Preserving Video Analytics where the advent of new data intelligence technologies against the background of dynamic societal and citizen’s goals, norms, expectations, safety and security needs have all contributed to a complex interplay of influences which deserve in-depth study and solution seeking in order for the European society, citizen and industry to strike the optimal balance in resolution of the various challenges in this arena.
more to: VideoSense
- © Copyright??
The goal of the sub-project „Interaktion und Sensoren“ (interaction and sensors) is to design usage scenarios for connected environments and to develop so called “generic” sensors and actuators. Prospective users from local neighborhoods will be involved in the scenario generation process. Prototypes with suitable sensors will be developed to demonstrate alternative forms of interaction.
more to: Connected Technologies
- © MOSAIC
The goal of the MOSAIC project has been to develop the MOSAIC Platform. The MOSAIC Platform involves multi-modal data intelligence capture and analytics including video and text collaterals etc. The distributed intelligence within the platform enables decision support for automated detection, recognition, geo-location and mapping, including intelligent decision support at various levels to enhance situation awareness, surveillance targeting and camera handover; these involve level one fusion, and situation understanding to enable decision support and impact analysis at level two and three of situation assessment.
more to: Mosaic
- © Copyright??
OpenSEM, the open innovation platform for se-mantic media, is an EIT ICT Labs activity, started in 2011 with institutes from Germany, Finland, the Netherlands and France. OpenSEM builds on results achieved in the PetaMedia network of excellence and in some activities closely cooperates with PetaMedia. The consortium is open for new partners and various forms of cooperation with academic and commercial labs.
OpenSEM helps participants translating research results to product and service innovation. OpenSEM is not just a project: It envisions long term cooperation of institutes and companies working on the cutting edge of semantic multimedia technology, thus establishing a virtual center of excellence on social media retrieval.
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- © Copyright??
PetaMedia is a Network of Excellence funded by the European Commission's Seventh Framework Programme. FP7 is a key tool to respond to Europe's needs in terms of jobs and competitiveness, and one of its goals is to maintain leadership in the global knowledge economy.
The goal of the NoE PetaMedia is to bring together the research of four national networks in the Netherlands, Switzerland, UK and Germany in the area of multimedia content analysis (MCA) and social peer-to-peer networks and eventually to establish a European virtual centre of excellence.
more to: PetaMedia
- © SinoVE
Projektpartner:
•Bundespolizei, Potsdam
•Deutsche Bahn AG, Berlin
•Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut, Berlin
•Funkwerk plettac electronic GmbH, Fürth
•Gesellschaft zur Förderung angewandter Informatik, Berlin
•Siemens Division Building Technologies, Karlsruhe
•Technische Universität Berlin, Fachgebiet Nachrichtenübertragung, Berlin
•VCS Video Communication Systems AG, BOSCH Group, Ottobrunn
•Vis-à-pix GmbH, Potsdam
Weitere Informationen:
Projektbeschreibung
Präsentation
Abschlussberichte der Teilvorhaben
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- © Copyright??
imcube has an innovative technology and patented process for converting 2D video and film into stereoscopic 3D using the company‘s cubit software. imcube’s conversion process provides film makers, studios, and exhibitors with a new solution to 3D movie making and presentation. Exhibitors will have a flow of 3D product and theatre audiences will finally be able to enjoy both new and classic movie features in an entirely new reality elevated 3D cinematic experience. Our process is a high quality depth-restoration process with many automatic features that results in perfect and realistic 3D. Furthermore, movies converted to 3D via our process produce no eye fatigue for theatre audiences. The underlying software is developed with the cooperation of the Communication Systems Group of the Technische Universität Berlin.
more to: imcube media
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VISNET II builds on the success and achievements of the existing VISNET NoE to continue the progress towards achieving the NoE mission of creating a sustainable world force in Networked Audiovisual (AV) Media Technologies. VISNET II is a network of excellence that has strategic objectives revolving around the integration, research and dissemination activities of a network of excellence. Integration will be achieved both in each thematic area and across the 3 Themes defining the scope of research in VISNET II.
more to: VISNET II
- © K-Space Group
K-Space is a network of leading research teams from academia and industry conducting integrative research and dissemination activities in semantic inference for automatic and semi-automatic annotation and retrieval of multimedia content. K-Space exploits the complementary expertise of project partners, enables resource optimization and fosters innovative research in the field. The aim of K-Space research is to narrow the gap between low-level content descriptions that can be computed automatically by a machine and the richness and subjectivity of semantics in high-level human interpretations of audiovisual media: The Semantic Gap.
more to: K-Space
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A consortium of 19 entities, led by Bilkent University, has been working on planning and conducting a 48-month project on 3DTV. The Network of Excellence (NoE) is funded by EC and started on 1 September 2004. The primary goal of the team is to deal with all aspects of the 3DTV in an integrated manner. The team believes that the timing is perfect in terms of technological environment and consumer attitude and needs. The primary objective of this project is to align European researchers with diverse experience and activity in distinct, yet complementary, areas so that an effective network for achieving full scale 3D video capabilities integrated seemlessly to a more general information technology base (like internet) is established and kept functional for a long time.
more to: 3DTV: Integrated Three-Dimensional Television - Capture, Transmission, and Display
