Multimodal visual data registration for web-based visualization in media production
- Submitting institution
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University of Southampton
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 54927417
- Type
- D - Journal article
- DOI
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10.1109/TCSVT.2016.2642825
- Title of journal
- IEEE Transactions on Circuits and Systems for Video Technology
- Article number
- -
- First page
- 863
- Volume
- 28
- Issue
- 4
- ISSN
- 1558-2205
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
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-
- Citation count
- 3
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This framework has been implemented on the in-house software JIGSAW, and is being used for big data management in film production by Double Negative (DNeg), the biggest visual effect company in Europe. (https://www.dneg.com/). Collaborative papers with DNeg using this algorithm were also published at SIGGRAPH(https://doi.org/10.1145/2787626.2792617) and ICIP(https://doi.org/10.1109/ICIP.2015.7351725). The ICIP paper was selected as Top 10% paper. http://www.icip2015.org/program.html
This paper includes dissemination of multi-modal dataset which is publicly available: https://cvssp.org/impart/
This dataset has been downloaded by more than 250 research groups and individuals. (List of access request available. Contact: H.Kim@soton.ac.uk)
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -