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Novel video narrative from recorded content Theme Creative Computing Project proposed & supervised by Nick Pears To discuss whether this project could become your PhD proposal please email: nick.pears@york.ac.uk < Back ​ Novel video narrative from recorded content Project proposal abstract: In order to stimulate interest and engagement in games, it is important to give players a wide variety of video content that can provide scenario variations each time they engage with the game. However, creating a large volume of diverse video content manually is expensive and time consuming. This project aims to generate novel video narratives from recorded content with minimal human intervention. This requires automatic visual scene understanding that generates auto tagging of scene content and scene actions, either on a frame-by-frame or short clip basis. As well as understanding frame content, action segmentation strategies will be developed and evaluated. This will enable construction of short novel video narratives - for example, from a manually-defined storyline. Deep learning tools and techniques will be employed throughout this project. Supervisor: Nick Pears Based at:

< Back Increasing the Diversity of Deep Generative Models Link ​ Author(s) S Berns Abstract ​ More info TBA ​ Link

< Back The Graph Cut Kernel for Ranked Data Link ​ Author(s) M Conserva, MP Deisenroth, KSS Kumar Abstract ​ More info TBA ​ Link

< Back Unconventional Exchange: Methods for Statistical Analysis of Virtual Goods Link ​ Author(s) OJ Scholten, P Cowling, KA Hawick, JA Walker Abstract ​ More info TBA ​ Link

< Back Navigating the Lines: Towards a Multi-Perspective Approach on Videogame Monetisation Link ​ Author(s) P Declerck, B Dupont, E Grosemans, E Petrovskaya, M Geudens, M Sas, ... Abstract ​ More info TBA ​ Link

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< Back The Effects of a Soundtrack on Board Game Player Experience Link ​ Author(s) T Farkas, A Denisova, S Wiseman, R Fiebrink Abstract ​ More info TBA ​ Link

< Back DAX: Data-Driven Audience Experiences in Esports Link ​ Author(s) A Kokkinakis, SP Demediuk, I Nölle, O Olarewaju, S Patra, J Robertson, P York, AP Chitayat, A Coates, D Slawson, P Hughes, N Hardie, B Kirman, JD Hook, A Drachen, M Ursu, FO Block Abstract ​ More info TBA ​ Link

< Back Network Bending: Expressive Manipulation of Generative Models in Multiple Domains Link ​ Author(s) T Broad, FF Leymarie, M Grierson Abstract ​ More info TBA ​ Link

iGGi Partners We are excited to be collaborating with a number of industry partners. IGGI works with industry in some of the following ways: ​ Student Industry Knowledge Transfer - this can take many forms, from what looks like a traditional placement, to a short term consultancy, to an ongoing relationship between the student and their industry partner. Student Sponsorship - for some of our students, their relationship with their industry partner is reinforced by sponsorship from the company. This is an excellent demonstration of the strength of the commitment and the success of the collaborations. In Kind Contributions - IGGI industry partners can contribute by attending and/or featuring in our annual conference, offering their time to give talks and masterclasses for our students, or even taking part in our annual game jam! ​ There are many ways for our industry partners to work with IGGI. If you are interested in becoming involved, please do contact us so we can discuss what might be suitable for you. Revolution