reinventing the inventory
DESCRIPTION
John is wondering..”How could I find the coffee maker my parents had when I was ten years old??..” The current merchant systems have a tendency to filter out objects that do not have a mercantile value. For example, John is searching for an object that has a value for him and maybe not for other people and for the common mercantile system. For this reason, it will be very difficult for him to find the object even on the web. On the other hand, we observe the development of second-hand shops that gather objects that are pushed aside. John knows that he could have a chance to find its coffee maker in those shops. However, he may have to visit many places to finally find it! Starting from this observation, we propose a novel approach to manage storage and cataloguing of objects of any kind. The idea consists in assisting the digitizing of objects collected by 2nd hand shops in order to allow them to publish online their catalog.TRANSCRIPT
HowwillIgetridofalltheserustycoffeemakers??
1. Makingvisibleonthewebthestockof2ndhandshops("ressourceries",EmmauscommuniMes,SalvaMonArmy,etc.)
2. HelpingtheseorganizaMonsdigiMzingandcataloguingtheirstock
3. EnhancingcategorizaMonsandsearchincatalogswithsemanMctechnologies
Trainingdataclustersofobjects
associatedtoaclass
(tag)
1.Takeapicture
2.AUTOMATICshaperecogni;on:‐ Findclosestcluster‐ linktagtoobject
Hotliquidcontainer
Hotliquidcontainer
coffeemakercoffeepot
teapot =subClassOf
Seman;ctechnologiesSetofontologies
describingclassesofobjects(tags)andtheirrelaMons
id:hl‐123456tags:hotliquidcontainer☐coffeemaker coffeepot☐teapot
3.SEMI‐AUTOMATICrefiningofthetagging‐ AutomaMcallysuggestrelatedtags(ontology)‐ ManuallyvalidateorcorrectsuggesMons
Picture
AUTOMATICshaperecogni;on:‐ Findclosestcluster‐ linktagtoobject
Hotliquidcontainer
RELATEDWORK
ImageanalysistoolswithmachinelearningandstaMsMcalmodelingtechniques
• FIRE(FlexibleImageRetrievalEngine),acontent‐basedimageretrievalsystem
ThomasDeselaers,RWTHAachenUniversity
• LEARteam:visualobjectrecogniMonforobjectcategorydetecMon
INRIA‐LJKGrenoble
• Mediacycle:allowstobrowseimagelibrariesbyorganizingthemintoclusterstakingintoaccountshape,colorortexture(viaopencvlibrary)UniversitédeMons&numediart,Belgium
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Thegoal:FindingsemanMcally
RelatedtagsToenhancesearching
coffeemaker
Theidea:1./MappingtagsWithontologies’concepts
Hotliquidcontainer
coffeemakercoffeepot
teapot
=subClassOf
www.slideshare.net/fabien_gandon/web‐smanMque‐et‐web‐social‐1700977
www.slideshare.net/fabien_gandon/web‐smanMque‐et‐web‐social‐1700977
www.slideshare.net/fabien_gandon/web‐smanMque‐et‐web‐social‐1700977
Theidea:2./MiningsemanMcrelaMonsFromtags’structureandfeatures
String‐basedmapping
Coocurringtags
Resultsfor"coffeemaker":
coffeemaker
Relatedresults:
Resultsfor"teapot":
Resultsfor"coffeepot":
1. Theuserenter"coffeemaker"
2. ThesystemsuggestsaddiMonalresultsthankstosemanMcrelaMons
• AnautomaMcarchivingofsecond‐handobjectsandtheireasyretrievingbyapotenMaluser
• Agoodpictureofsustainabledevelopment
• Allthetechniquesusedaimedtobefreeandopensource
• BenchmarkcurrentshaperecogniMonmethods onourspecificproblem
• Lookingforavailableontologies/folksonomiesofeverydayobjectstobootstrapsemanMcfuncMonnaliMes
• PracMcalexperimentina«ressourcerie» (hnp://courtcircuioelleMn.wordpress.com/)