Script-to-Storyboard: A New Contextual Retrieval Dataset and Benchmark

Xi Tian, Yongliang Yang, Qi Wu

University of Adelaide

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	Computational Visual Media
Publication status	Acceptance date - 26 Oct 2022

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Sc2St_cvmj23
Accepted author manuscript, 2.21 MB
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Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA) - 2.0
Campbell, N. (PI), Cosker, D. (PI), Bilzon, J. (CoI), Campbell, N. (CoI), Cazzola, D. (CoI), Colyer, S. (CoI), Cosker, D. (CoI), Lutteroth, C. (CoI), McGuigan, P. (CoI), O'Neill, E. (CoI), Petrini, K. (CoI), Proulx, M. (CoI) & Yang, Y. (CoI)
Engineering and Physical Sciences Research Council
1/11/20 → 31/10/25
Project: Research council
CAMERA MC2 Award
Cosker, D. (PI), Cosker, D. (PI), Campbell, N. (CoI), Fincham Haines, T. (CoI), Hall, P. (CoI), Li, W. (CoI), Lutteroth, C. (CoI), O'Neill, E. (CoI), Richardt, C. (CoI), Yang, Y. (CoI) & Parsons, M. (Researcher)
EU - Horizon 2020
2/12/19 → 31/03/23
Project: EU Commission

Cite this

@article{ef417979afe74988829e6ba058ef6abd,

title = "Script-to-Storyboard: A New Contextual Retrieval Dataset and Benchmark",

author = "Xi Tian and Yongliang Yang and Qi Wu",

year = "2022",

month = oct,

day = "26",

language = "English",

journal = "Computational Visual Media",

issn = "2096-0433",

publisher = "Tsinghua University Press",

}