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Multimedia Lab Rik Van de Walle Department of Electronics and Information Systems Ghent University - IBBT Gaston Crommenlaan 201 bus 8 B-9050 Ledeberg-Ghent, Belgium t: +32 9 33 14914 f: +32 9 33 14896 m: +32 478 39 62 31 t secr: +32 9 33 14911 e: rik.vandewalle@ugent.be
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Multimedia Lab Rik Van de Walle Department of Electronics and Information Systems Ghent University - IBBT Gaston Crommenlaan 201 bus 8 B-9050 Ledeberg-Ghent, Belgium t: +32 9 33 14914 f: +32 9 33 14896 m: +32 478 39 62 31 t secr: +32 9 33 14911 e: rik.vandewalle@ugent.be URL: multimedialab.elis.ugent.be
Multimedia Lab - UGent • History • background in image and signal processing • 1999: Multimedia Systems and Applications new research area within Ghent University • 2001: Multimedia Lab formally founded new research group within ELIS department • 2003: link/co-operation with IMEC • 2004: partner of the IBBT www.ibbt.be, Flemish Government MMLab Overview F2F MMSEM, Athens – December 2006
Multimedia Lab - UGent • People • 5 staff members • Rik Van de Walle, full professor • Peter De Neve, 10% lecturer • Erik Mannens, project management • Peter Lambert, senior researcher • Ellen Lammens, administrative management • currently 25 researchers • PhD students • “others” (projects) • about 15 master students per year MMLab Overview F2F MMSEM, Athens – December 2006
Multimedia Lab - UGent • Teaching • programs • ba/ma Computer Science (Faculty of Engineering) • ba/ma Electronics (Faculty of Engineering) • ba/ma Informatics (Faculty of Sciences) • Multimedia Techniques (baC3 - baE3) • Development of MM Applications (maC1 - maE1) • Advanced MM Applications - project (maC2 - maE2) • Multimedia (baINFO2) • Internet Technology (baINFO3) MMLab Overview F2F MMSEM, Athens – December 2006
Research topics: data + metadata opera: il barbiere di Siviglia composer: Gioachino Rossini director: Claudio Abbado type: audio format: MP3 opera: il barbiere di Siviglia composer: Gioachino Rossini libretto: Cesare Sterbini type: web page format: html place: Sydney building: opera house architect: Jørn Utzon type: still image format: JPEG2000 MMLab Overview F2F MMSEM, Athens – December 2006
multimedia terminals INTERACTION DEPENDING ON mono/stereo audio, color depth, resolution, bandwidth, ... network Research topics: adaptation - optimization MMLab Overview F2F MMSEM, Athens – December 2006
Research topics (1) • Advanced video applications • development and exploitation of scalable video compression techniques • motion estimation and compensation • ROI-based video compression (Region of Interest) • adaptation of multimedia data with respect to varying usage environments • development of iDTV applications (a/o based on MHP, the Multimedia Home Platform) MMLab Overview F2F MMSEM, Athens – December 2006
Research topics (2) • Mobile multimedia applications • reduction impact of network losses on quality of multimedia presentations (a/o adaptive coding/decoding wrt varying network characteristics) • rendering multimedia data on mobile terminals with limited resources • transparent handover of multimedia sessions between different devices (session mobility) • hardware/software co-design of embedded multimedia systems MMLab Overview F2F MMSEM, Athens – December 2006
Research topics (3) • Standardization • MPEG-21 • Digital Item Declaration • Digital Item Adaptation • Digital Item Processing • Development of Reference Software for various tools • MPEG-4 Scalable Video Coding (SVC) • MPEG-4 Advanced Video Coding (H.264/AVC) • JVT - Joint Video Team • VQEG - Video Quality Experts Group • IFTA - International Federation of Television Archives MMLab Overview F2F MMSEM, Athens – December 2006
Ex. 1: exploitation of scalability MMLab Overview F2F MMSEM, Athens – December 2006
student watching a lesson on a set- top box tv/set-top Media stream Session Transfer box student continuing the session on a Media stream PDA Pocket PC Servers Session Transfer containing online Media stream classes finishing the e- learning session on a tablet PC Tablet PC Ex. 2: session mobility for mobile applications MMLab Overview F2F MMSEM, Athens – December 2006
Ex. 3: video adaptation for mobile applications MMLab Overview F2F MMSEM, Athens – December 2006
In short: transparent content adaptation MMLab Overview F2F MMSEM, Athens – December 2006
New Research Pathsrelated to MMSEM MMLab Overview F2F MMSEM, Athens – December 2006
Feature Extraction (Video) • Use cases: • Video surveillance • Detection of moving foreground objects • Video adaptation • Change bitrate, framerate, resolution, coding format, … • goal: reduction of network load, processing load, adjustment to client capacities or user preferences • Extraction of relevant features: ROI, semantics, shot detection MMLab Overview F2F MMSEM, Athens – December 2006
Feature Extraction tool • Low level extraction: MMLab Overview F2F MMSEM, Athens – December 2006
Integrated Video Surveillance System • Combining expertise: MPEG-21 Digital Item Raw Pixel Data H.264/AVC features features MMLab Overview F2F MMSEM, Athens – December 2006
Interoperable Integrated Video Surveillance System • Issues • Which features (high level <-> low level, automatic <-> manual) • How to describe them • When to describe them (camera, video processing module, network node, client) • How to link them to video resource (storage, distribution, presentation, …) New Use Case? MMLab Overview F2F MMSEM, Athens – December 2006
New IBBT Projectsrelated to MMSEM MMLab Overview F2F MMSEM, Athens – December 2006
PeCMan • The goal of the PeCMan project is to research the major technological challenges of a user-centric solution enabling uniform storage and manipulation of data as well as universal access to this personal data. A successful solution will have premium capabilities in the areas of security, performance, usability and description of the personal data MMLab Overview F2F MMSEM, Athens – December 2006
Personal Digital Photo Archives --> need for effective, uniform annotation strategy semantic gap is still very wide! • Overcome semantic gap? • Extract the ”good” features -> which algorithm?, domain specific? • Combine which primitive features for scene understanding? • Machine learning -> many methods, training on different datasets, ... • Ontologies -> need to model the whole world? Content vs. Context
Feature extraction - human vision system best tuned to color and texture perception - imitate cells of the visual cortex - texture features can provide semantic information - texture helpful in object segmentation MMLab Overview F2F MMSEM, Athens – December 2006
Machine Learning • - supervised <-> unsupervised • - self-organizing map: processing principles of human (visual & auditory) cortex • incremental learning: knowledge must be continuously updated to manage • non-static archives, relevance feedback Feature extraction Classification Ontologies Machine learning Scene understanding --> use both manual and automatic annotation with minimal user overhead MMLab Overview F2F MMSEM, Athens – December 2006
Lindo MMLab Overview F2F MMSEM, Athens – December 2006
FIPA / AVEQ • investigate the processes related to engineering and analysis of audiovisual material, based on the notion of a virtual model of the product • explore some aspects of reverse engineering, including audiovisual-quantization, analysis and classification • Stretching the idea of the virtual model, we may develop a much more powerful analysis and classification system when we succeed in reconstructing the model – the background, the characters, the objects that constitute the scene of the image – quantifying the subjects per scene by a finite list of normalized and relevant vectors and being able to express semantics, history and behaviour in a single geospatial and temporal reference MMLab Overview F2F MMSEM, Athens – December 2006
Industrial partners • Main partners (projects & MPEG) • Alcatel, France-Belgium • Artec/Televic, Belgium • Barco, Belgium • Belgacom, Belgium • CISCO/Scientific Atlanta, USA • Concentra, Belgium • Deutsche Telecom, Germany • eTampere, Finland • France Telecom, France • IBM, USA • Intel, USA • LG Electronics, Korea MMLab Overview F2F MMSEM, Athens – December 2006
Industrial partners • Main partners (projects & MPEG) • Microsoft Research, USA • Museon, Netherlands • Philips, Netherlands • Porthus, Belgium • ScreenPeaks, Israel • Siemens, Germany • Sun Microsystems, USA • Telindus, Belgium • Thomson Multimedia, France • T-Systems Nova GmbH, Germany • VMMa, Belgium • VRT, Belgium MMLab Overview F2F MMSEM, Athens – December 2006
Contact Erik Mannens Department of Electronics and Information Systems Ghent University - IBBT Gaston Crommenlaan 201 bus 8 B-9050 Ledeberg-Ghent, Belgium t: +32 9 33 14992 f: +32 9 33 14896 m: +32 478 39 62 31 t secr: +32 9 33 14911 e: erik.mannens@ugent.be URL: multimedialab.elis.ugent.be MMLab Overview F2F MMSEM, Athens – December 2006