Research 2.0 Harnessing Collective Intelligence

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Research 2.0 Harnessing Collective Intelligence. Yung-Yu Chuang 莊永裕 Communication & Multimedia Laboratory National Taiwan University. Research 2.0. Research 2.0 = Research based on the concept of Web 2.0 Similar idea/term was proposed by Harry Shum of MSRA - PowerPoint PPT Presentation

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  • Research 2.0Harnessing Collective IntelligenceYung-Yu Chuang

    Communication & Multimedia LaboratoryNational Taiwan University

  • Research 2.0Research 2.0 = Research based on the concept of Web 2.0Similar idea/term was proposed by Harry Shum of MSRAObservations from vision and multimedia research

  • Web 2.0Web2.0

    Web 1.0Web 2.0DoubleClickGoogle AdSensemp3.comNapsterBritannica onlinewikipediapersonal websitebloggingpublishingparticipation

  • The long tail80-20 ruleLaw of the vital fewWeb 2.0 involves all peopleand shifts the authority.Books, media, software

  • Web 2.0 (Tim OReilly)The web as platformData is the next Intel InsideHarnessing collective intelligence

  • Research 2.0Data, paper and code are on the webBenchmark becomes more and more important. Sharing your data and code is likely to make your research more influential.

  • Stereo problem

  • Middlebury stereo page

  • Middlebury stereo pagePerformance for over 40 methods were reported; 36 of them were submitted by other researchers.

  • Middlebury stereo pageA review paper along with a benchmark was published in IJCV 2002.541 citations since then according to Google scholar.

  • LIBSVM (C.J.Lin at NTU)873 citations since 2001 according to Google scholar.SVM is not necessarily the best tool for classification. Its popularity could gain from some robust and easy-to-use tools.

  • Research 2.0Data, paper and code are on the webBenchmark becomes more and more important. Sharing your data and code is likely to make your research more influential.

  • Research 2.0Data, paper and code are on the webBenchmark becomes more and more important. Sharing your data and code is likely to make your research more influential.Explore vast amount of (noisy) dataStatistical approaches (machine learning, data mining, information retrieval)

  • Landmark projectWhat are the text keywords for landmarks?What are the visual keywords associated with landmarks?

  • Research 2.0Data, paper and code are on the webBenchmark becomes more and more important. Sharing your data and code is likely to make your research more influential.Explore vast amount of (noisy) dataStatistical approaches (machine learning, data mining, information retrieval)Utilize collective intelligenceGood designs and motivations encourage people to make contributions

  • What can users contributes?YouTube/flickr: media and tagsWikipedia: knowledgeAmazon: reviews/commentsConnextions: coursesMITs openmid: common senseHuman computation cycles

  • Application to ROIWe have applied this idea to ROI research.There is no benchmarkThere is no evaluationThere is no example-based approach

  • What is ROI?

  • How to detect?HeuristicsContrastFaceTextShape

  • How to detect?HeuristicsContrastFaceTextShapeUser labelingManualEye tracker

  • Our approachCollect large amount of ground truthEvaluate existing algorithmsA learning-based algorithm

  • ConclusionsBecause of Internets paradigm shift, what are new research possibilities? The answers are left to you.