Asset Finder: A Search Tool forFinding Relevant Graphical AssetsUsing Automated Image Labelling

Abstract: 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.