報(bào)告題目：Big Data, Better Life
報(bào)告人： 羅杰波教授，IEEE/SPIE/IAPR Fellow
單位： 美國(guó)羅切斯特大學(xué)
時(shí)間： 2016年5月22日(周日) 下午15:30-17:00
地點(diǎn)： 校學(xué)術(shù)活動(dòng)中心二樓小報(bào)告廳
報(bào)告人簡(jiǎn)介：羅杰波教授是多媒體研究領(lǐng)域國(guó)際著名學(xué)者，IEEE/IAPR/SPIE會(huì)士。羅教授曾任柯達(dá)研究中心首席科學(xué)家，現(xiàn)于美國(guó)羅切斯特大學(xué)計(jì)算機(jī)系工作。羅杰波教授在多媒體、機(jī)器視覺(jué)等領(lǐng)域發(fā)表學(xué)術(shù)論文數(shù)百篇，在國(guó)內(nèi)外學(xué)術(shù)界和工業(yè)界均產(chǎn)生了深遠(yuǎn)的影響。羅杰波教授曾任ACM Multimedia和CVPR等國(guó)際頂級(jí)學(xué)術(shù)會(huì)議程序委員會(huì)共同主席，是Journal of Multimedia期刊主編，亦是IEEE T-PAMI、T-MM、T-CSVT、PR等頂尖期刊編委成員。
報(bào)告摘要：We live in the age of big data. The biggest big data is big visual data, which includes images and other associated information. The biggest challenge is to develop effective computational methods for making sense of such massive visual data. Unlike text which is clean, segmented, compact, one dimensional and indexable, visual content is noisy, unsegmented, high entropy and multidimensional. In this talk, we present a few recent advances towards the ultimate goal of using big data, in particular large-scale and rich multi-modality data, to achieve robust intelligence in order to understand and improve life in terms of healthcare, well-being, politics, business, infotainment, and so on.
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