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CVMP 2023 : Conference on Visual Media Production | |||||||||||||||
Link: https://www.cvmp-conference.org/2023/ | |||||||||||||||
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Call For Papers | |||||||||||||||
Call for Submissions to CVMP 2023! – Full Papers deadline extended until 11 August
For two decades, the European Conference on Visual Media Production (CVMP) has built a reputation as the prime venue for researchers to meet with practitioners in the Creative Industries: film, broadcast and games. The Conference brings together expertise in video processing, computer vision, computer graphics, animation and physical simulation. It provides a forum for the presentation of the latest research and application advances, combined with keynote and invited talks on state-of-the-art industry practice. CVMP regularly attracts over 100 attendees approximately 50:50 from academia and the creative industries. CVMP is planned to take place physically in London in late-November / early-December 2023. Please check our website https://cvmp-conference.org/ and follow @CVMP on twitter for the latest updates. Proceedings of the Full Papers will appear in the ACM Digital Library, subject to ACM approval of this year’s conference. We encourage participation from a diverse range of backgrounds, including scientists, engineers, artists, and producers, to contribute inspiring papers, presentations, posters, and technical abstracts. We invite submissions to the conference on any topic that demonstrates an impact on visual media production, animation, and interactive content creation and experiences. This year there is an additional focus on eXtended Reality and Generative AI across the Creative Industries. We hope contributions will convey innovative ideas, technical details, and insight or experience into theory and/or practice. Full Papers: We invite submissions of regular, technical papers presenting novel research or applications related to any aspect of media production, including computer vision, graphics and machine learning research with application in this area. We particularly encourage the submission of early-stage doctoral work. Submitted papers can be any length up to 10 pages and will be subject to double-blind peer review. Accepted papers will be presented in either oral or poster form, and will appear in the ACM Digital Library (subject to ACM approval). Browse past CVMP papers in the ACM Digital Library. Short Papers and Technical Abstracts: Submissions are invited in the form of a one-page extended abstract, describing innovative industry practice or academic research. Submissions can also describe work in progress and do not prevent submission of the work elsewhere. Accepted submissions will be presented in poster form at the conference, and will not appear in the ACM Digital Library. Demos: The demos programme promotes applied research and applications to facilitate collaborations between industrial and academic members of the media production community. Demos do not have to be related to full or short papers accepted at CVMP but should have the form of live demonstrations of media production methods and/or their applications. A one-page paper should be submitted describing the content of the demonstration and an overview of the approach. Industry Talks: We invite submissions for industry talks showcasing innovative ideas and practice. These should be submitted in the form of a one-page extended abstract describing the proposed talk. Talks will take a similar form to submissions for talks at SIGGRAPH and FMX, and can be talks that have already been presented at other venues. Submission Dates: Full Papers deadline: extended until 11 August 2023 Review Deadline: 15 September 2023 Author Notification 25 September 2023 Camera-Ready Submission 6 October 2023 Industry Talks deadline: 15 September 2023 Author Notification 9 October 2023 Short Papers deadline: 15 September 2023 Author Notification 9 October 2023 Demos deadline: 15 September 2023 Author Notification 9 October 2023 Papers, Demos and Talks are invited in all areas of visual media production related to film, games and broadcast, including but not limited to: 3D video capture and 3D-TV Augmented/mixed/virtual/extended reality (AR/MR/VR/XR) Character animation Computational photography Computer graphics Computer vision Digital and virtual humans Generative artificial intelligence (AI) High-dynamic-range (HDR) imaging Image and video synthesis Image enhancement and restoration Image/model/asset editing Interactive media and games Level of detail (LOD) Machine learning Motion estimation Multiple camera systems Omni-directional video Post-production using stereo, 3D and motion Pre-visualization Real-time imaging systems Real-time rendering Relighting images and video Scene modelling Segmentation and matting Video and camera tracking Video-based animation Video-based human motion capture Virtual production Visual asset management Visual effects (VFX) Policies: By submitting your article to an ACM Publication, you are hereby acknowledging that you and your co-authors are subject to all ACM Publications Policies, including ACM's new Publications Policy on Research Involving Human Participants and Subjects. Alleged violations of this policy or any ACM Publications Policy will be investigated by ACM and may result in a full retraction of your paper, in addition to other potential penalties, as per ACM Publications Policy. Please ensure that you and your co-authors obtain an ORCID ID, so you can complete the publishing process for your accepted paper. ACM has been involved in ORCID from the start and we have recently made a commitment to collect ORCID IDs from all of our published authors. The collection process has started and will roll out as a requirement throughout 2022. We are committed to improve author discoverability, ensure proper attribution and contribute to ongoing community efforts around name normalization; your ORCID ID will help in these efforts. For information on how to submit papers, please refer to the Submission Instructions available on the CVMP website. Kind regards Peter Vangorp CVMP 2023 Full Papers Chair |
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