Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/119006
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | School of Design | - |
| dc.creator | He, R | - |
| dc.creator | Wei, H | - |
| dc.creator | Cao, Y | - |
| dc.date.accessioned | 2026-05-26T08:10:13Z | - |
| dc.date.available | 2026-05-26T08:10:13Z | - |
| dc.identifier.isbn | 979-8-4007-0628-8 | - |
| dc.identifier.uri | http://hdl.handle.net/10397/119006 | - |
| dc.description | UIST '24: The 37th Annual ACM Symposium on User Interface Software and Technology, Pittsburgh PA, USA, October 13-16, 2024 | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Association for Computing Machinery | en_US |
| dc.rights | © 2024 Copyright held by the owner/author(s). | en_US |
| dc.rights | This work is licensed under a Creative Commons Attribution International 4.0 License (https://creativecommons.org/licenses/by/4.0/). | en_US |
| dc.rights | The following publication Rui He, Huaxin Wei, and Ying Cao. 2024. An Interactive System for Supporting Creative Exploration of Cinematic Composition Designs. In Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology (UIST '24). Association for Computing Machinery, New York, NY, USA, Article 78, 1–15 is available at https://doi.org/10.1145/3654777.3676393. | en_US |
| dc.subject | Creativity support tool | en_US |
| dc.subject | Digital filmmaking | en_US |
| dc.subject | Machine learning | en_US |
| dc.subject | Intelligent cinematography | en_US |
| dc.subject | Machinima | en_US |
| dc.title | An interactive system for supporting creative exploration of cinematic composition designs | en_US |
| dc.type | Conference Paper | en_US |
| dc.identifier.spage | 1 | - |
| dc.identifier.epage | 15 | - |
| dc.identifier.doi | 10.1145/3654777.3676393 | - |
| dcterms.abstract | Designing cinematic compositions, which involves moving cameras through a scene, is essential yet challenging in filmmaking. Machinima filmmaking provides real-time virtual environments for exploring different compositions flexibly and efficiently. However, producing high-quality cinematic compositions in such environments still requires significant cinematography skills and creativity. This paper presents Cinemassist, a tool designed to support and enhance this creative process by generating a variety of cinematic composition proposals at both keyframe and scene levels, which users can incorporate into their workflows and achieve more creative results. At the crux of our system is a deep generative model trained on real movie data, which can generate plausible, diverse camera poses conditioned on 3D animations and additional input semantics. Our model enables an interactive cinematic composition design workflow where users can co-design with the model by being inspired by model-generated suggestions while having control over the generation process. Our user study and expert rating find Cinemassist can facilitate the design process for users of different backgrounds and enhance the design quality especially for users with animation expertise, demonstrating its potential as an invaluable tool in the context of digital filmmaking. | - |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | In UIST '24: Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology, 78, p. 1-15. New York, NY: The Association for Computing Machinery, 2024 | - |
| dcterms.issued | 2024-10 | - |
| dc.relation.conference | ACM Symposium on User Interface Software and Technology (UIST) | - |
| dc.identifier.artn | 78 | - |
| dc.description.validate | 202605 bcjz | - |
| dc.description.oa | Version of Record | en_US |
| dc.identifier.FolderNumber | OA_Scopus/WOS | en_US |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | We would like to express our gratitude to Dr. Junnan Yu and Dr. Jae-Eun Oh for their invaluable suggestions on the evaluation of our system. We are also grateful to the eighteen participants and two experts who contributed their time and insights to our two evaluative studies. Additionally, we appreciate the reviewers for their thoughtful and constructive feedback on an earlier version of this paper. Lastly, our thanks extend to The Hong Kong Polytechnic University and its School of Design for their generous support, as well as the fnancial assistance provided by the Research Studentship funded by the University Grants Committee of Hong Kong. | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.description.oaCategory | CC | en_US |
| Appears in Collections: | Conference Paper | |
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