MUSCLE eTeam Content Analysis Showcase CAS CAS Motivation
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. . . MUSCLE e-Team: Content Analysis Showcase (CAS) . . .
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 So. A" showcase . . .
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 e. Team (may evovle by combining indiv. results). . .
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 . . .
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. . .
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 . . .
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 more? everybody? . . .
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 So. A report/showcase – an e-Team where hopefully many will want to and are able to participate. . .
