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Asset Finder: A Search Tool forFinding Relevant Graphical AssetsUsing Automated Image Labelling
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
2019 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

The creation of digital 3D-environments appears in a variety of contexts such as movie making, video game development, advertising, architecture, infrastructure planning and education. When creating these environments it is sometimes necessary to search for graphical assets in big digital libraries by trying different search terms. The goal of this project is to provide an alternative way to find graphical assets by creating a tool called Asset Finder that allows the user to search using images instead of words. The Asset Finder uses image labelling provided by the Google Vision API to find relevant search terms. The tool then uses synonyms and related words to increase the amount of search terms using the WordNet database. Finally the results are presented in order of relevance using a score system. The tool is a web application with an interface that is easy to use. The results of this project show an application that is able to achieve good results in some of the test cases.

Abstract [sv]

Skapande av 3D-miljöer dyker upp i en mängd olika kontexter som till exempel filmskapande, spelutveckling, reklam, arkitektur, infrastrukturplanering och utbildning. När man skapar dessa miljöer är det ibland nödvändigt att söka efter 3D-modeller i stora digitala bibliotek och att försöka hitta söktermer som matchar modellen som du försöker hitta. Målet med detta projekt är att förse ett alternativt sätt att hitta dessa modeller genom att skapa ett verktyg kallat Asset Finder som tillåter användaren att söka genom bilder istället för ord. Asset Finder använder sig av bildtaggning som tillhandahålls av Google Vision API för att hitta relevanta söktermer. Verktyget använder sig sedan av synonymer och relaterade ord för att öka mängden söktermer genom WordNet-databasen. Till slut används ett poängsystem för att presentera resultaten sorterade efter relevans. Verktyget är en webbapplikation som ämnas vara enkel att använda. Resultatet av detta projekt är en applikation som kan åstadkomma goda resultat i vissa av testfallen.

Place, publisher, year, edition, pages
2019. , p. 31
Series
Independent Project in Computer and Information Engineering ; 2019-001
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-387204OAI: oai:DiVA.org:uu-387204DiVA, id: diva2:1328170
External cooperation
Quixel AB
Educational program
Master of Science Programme in Information Technology Engineering
Supervisors
Examiners
Available from: 2019-06-20 Created: 2019-06-20 Last updated: 2019-06-20Bibliographically approved

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