MultimediaBigDataAnalyticsLimited(MBDA)

MakingAdvancedVisualAnalyticsAccessibleandAffordable

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WhyAnalyticsMatters?

By2020:

There’llbemorethan2billionsmartphoneusersgeneratingvisualdataworldwide

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GlobalvisualanalyticsmarketwillbeworthUSD5.74billion

TopReasonsforAnalytics

Better&fasterbusiness

decisions

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Improveplanning&forecasts

Understandusers

Driverevenue

TopReasonsforAnalytics

Although90%oftheworld’sdataisgeneratedinthelast2years

Only5%ofthedataisanalyzed

notanalyzed

Why?

Developmentcost&time

Specialistsneeded

Findingtherighttechnologies

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OurAwardWinning&PatentedTechnologies

Globallyaccessible24/7

Scalable

Fastandaffordable

Backedbyuniversityresearch

Costeffective,withouttheneedofinfrastructureorspecialists

Ouruniquealgorithmhelpscompaniesgainuserinsightsandmake

recommendationswithminimalinformationrequired

Services&Products

DiscoveruserinsightsfromImages

Recommendation

Digitalforensics

etc.

Discoverdatainsights

Visualdataannotation

VisualIPprotection

etc.

product/service

recommendation

visualdataannotation

digitalforensics visualintellectual

property(IP)

protection

ProofofConceptprototype,VisualIPSearch(available:

)

Scenario1:ProductRecommendation

Usersgenerateimageson

productsandshare.e.g.,

/

Auserpreferenceinferred(e.g.relevantcuisines/restaurants)

Generaterecommendations,e.g.,restaurants/foodstodriveimpulsepurchase

*Nomanualinputsrequiredonimages

Scenario2:TargetedMarketing

Targetedmarketingimproveeffectivenessofadvertisementse.g.,onGoogle/Resonance

Userpreferenceisinferredfromsharedimages(e.g.onevents/products)

Onlyadvertisingbrands/eventstousersthattheywilllikelyprefer

*Nomanualinputsrequiredonimages

RevenueModelandProjections

Freetrial

Subscription

Enterprise

objectrecognition

1000requests/day

unlimited

unlimited

connectiondiscovery

N/A

unlimited

unlimited

price

free

$50K/month

$300K+/month

predictedHKD$10M/yearrevenuefromon-goingsubscriptions

$15

Millions

$10

$5

$0

$10M

$4M

$1M

Q4,2017 Q4,2018 Q4,2019

ProjectionsBasedon

300K–700K/enterpriseclientperyear,&

2,6and14newenterpriseclientsneededin1st,2nd&3rdyear

PricesinHKD

Planfor10MRevenue/Yearin2019

Technologyandproductplan

Expandourdatascienceteam

DeploymoreadvancedAaaS,ontopofdeployedVIPSearch

DevelopaDataasaService(DaaS)fromAaaSdata

Businessplan

HirebusinessdevelopmentmanagersfromLocal/SoutheastAsia/China

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Buildacustomerserviceteam

WhoWeAre

Auniversity-researchbasedcompanyforvisualdataanalytics

SamLi

SystemEngineer

BryanLeung

WebDeveloper

FelixChau

DataEngineer

LeoLi

DataEngineer

TwinkleTam

AdminandHR

ToniaYim

MarketingDirector,MBA,HKUST

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Prof.JamesShe,Co-founderAssistantProfessorandDirectorHKUST-NIESocialMediaLab.,HKUST

MingCheung,Co-founder

Ph.D.candidate

HKUST-NIESocialMediaLab.,HKUST

Patent-filedTechnologies

Patent-filed“SystemandMethodsofUsingUser-associatedImagesforUserUnderstandingandInformationRecommendation”(TTC.PA.0779)

Proof-of-ConceptFundoftheUniversityforprototypebuilding(PCF.018.14/15)

TheUniversityfornationalphasepatentprotection(PCT/CN2015/084786)

Awards,andFunding

CyberportforTheCyberportIncubationProgramme

CyberportforTheCyberportCreativeMicroFund(CCMF)

TechnologyStart-upSupportSchemeforUniversities(TSSSU),launchedbytheInnovationandTechnologyCommission

YeungWingYeeEntrepreneursFund

2016thePotentialandInnovationAward,in"海峽兩岸及港澳地區創新創業大賽"organizedbyJinanUniversity

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WeareseekingHK$3milliontomake$10millionperyearrevenueby2019

Pleasecontactusforfurtherdetails

Ming(

cpming@ust.hk

)

Tonia(

ttlyim@connect.ust.hk

)

James(

eejames@ust.hk

)

Appendix

BackedbyOn-goingResearch

M.Cheung,LI,Xiaopeng,andJ.She,“AnEfficientComputationFrameworkforConnectionDiscoveryusingSharedImages”

inIEEETransactionsonMultimedia.2017(underminorrevision)

M.Cheung,andJ.She,“AnAnalyticSystemforUserGenderIdentificationthroughUserSharedImages”inACMTransactionsonMultimediaComputing,Communications,andApplications(TOMM).2017

M.Cheung;J.She.,"EvaluatingthePrivacyRiskofUserSharedImages”inACMTransactionsonMultimediaComputing,

Communications,andApplications(TOMM).2016

M.Cheung;J.She.;Z.Jie.,"ConnectionDiscoveryUsingBigDataofUser-SharedImagesinSocialMedia,"inIEEETransactionsonMultimedia,vol.17,no.9,pp.1417-1428,Sept.2015

X.Li,M.Cheungand,J.She,"ConnectionDiscoveryusingSharedImagesbyGaussianRelationalTopicModel”BigData(BigMM),2016IEEEInternationalConferenceon.IEEE,2016.

P.Ng,J.She,M.CheungandA.Cebulla,"AnImages-TextualHybridRecommenderSystemForVacationRental"TheSecondIEEEInternationalConferenceonMultimediaBigData,Apr.2016

M.Cheung,J.SheandX.Li,"Non-userGeneratedAnnotationonUserSharedImagesforConnectionDiscovery”,TheIEEECPSCom2015

Z.Jie,M.CheungandJ.She,“ACloud-assistedFrameworkforBag-of-FeaturesTagginginSocialNetworks”,IEEE4thSymposiumonNetworkCloudComputingandApplications(NCCA),Jun.2015.

M.CheungandJ.She,"Bag-of-FeaturesTaggingApproachforaBetterRecommendationwithSocialBigData,”IMMM2014(Bestpaperaward)

M.CheungandJ.She,“DiscoveringUserConnectionsusingTheirSharedImagesonSocialMedia”,the12thIEEEInternationalConferenceonUbiquitousIntelligenceandComputing(UIC2015),Aug.2015.

OurProduct&BusinessModel

Generateinsightsfromclients’visualdata

Understanduserinterests/markettrends

Locatelike-mindedusersandtheirinterests

Scalable,cloud-assistedanalyticsfromclients’visualdata

Freetrial: