1. ................................................. MUSCLE e-Team: Content Analysis Showcase (CAS)

2. ................................................. CAS Motivation  We have –a series of state-of-the-art reports –a series of presentations by MUSCLE research partners –a set of specific benchmark data for objective evaluation of algorithms on specific performance criteria  Think we need, in addition –a common understanding what we can potentially do together by combining our approaches –a common understanding of what our algorithms are doing –a joint "practical SoA" showcase

3. ................................................. CAS Goals  Goals, very briefly and informally: –to take a common set of multimedia data –to simply apply whatever algorithms we have on it (everybody) –to show others what the results are –to allow others to use these resuls to build on to of it  Goals are not: –benchmarks to evaluate the quantitative performance of algorithms –new research in itself, at least not in the initial stages of the eTeam (may evovle by combining indiv. results)

4. ................................................. CAS Workplan (1/2)  Some partners record short video sequences: –preferably from public TV –in different languages –in an agreed default (low?) quality setting –should comprise a heterogeneous set of characteristics: speech, music, noise, persons, animals, objects, fire,... –e.g. music video clips, sports, news, soap-opera, commercials,...  video clips are combined to form a short collective testbed video used by all partners  probably made available in different forms –video –audio stream –set of images

5. ................................................. CAS Workplan (2/2)  All partners apply their algorithms to the joint data –no need for optimization –no performance evaluation in terms of quality against benchmark –"show what you can do"  Results will be presented –series of presentations on results and what they look like  Result data will be shared –set of feature vectors –set of keyframes –set of detected objects –set of annotated scenes –...  Phase 2: build upon the available data: –If I have xxx I can do yyy with my algorithm

6. ................................................. CAS Timeframe  Months 1-2: data acquisition  Months 3-7: data analysis  Month 7: results presentation and joint showcase  Months 8-12: Combination of data sets specifically: a range of research exchanges

7. ................................................. CAS Partners  Vienna University of Technology: Andreas Rauber, Thomas Lidy, Robert Neumayer  University of Amsterdam: Cees Snoek, Nicu Sebe  Cambridge University: Julien Fauqueur, Ryan Anderson, Nick Kingsbury  any many more? everybody?

8. ................................................. CAS Summary  CAS is a –Low effort e-Team –Low research profile e-Team –Highly important e-Team to foster collaboration –Highly important e-Team to understand our work –Highly important e-Team to demonstrate our work –Highly important e-Team to unleash potential in MUSCLE –Network e-Team bringing together what is already there –Pratical SoA report/showcase –an e-Team where hopefully many will want to and are able to participate