Big Data Analysis for Media Production
- Submitting institution
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The University of Surrey
- Unit of assessment
- 12 - Engineering
- Output identifier
- 9001191_3
- Type
- D - Journal article
- DOI
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10.1109/JPROC.2015.2496111
- Title of journal
- Proceedings of the IEEE
- Article number
- -
- First page
- 2085
- Volume
- 104
- Issue
- 11
- ISSN
- 0018-9219
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2015
- URL
-
-
- Supplementary information
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- Request cross-referral to
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- 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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-
- Research group(s)
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- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presents the first system to manage big data in film production to support decision making and verification of data integrity. A typical film production acquires peta-bytes of data from multiple sensing modalities (high-dynamic range images, video, LiDAR scans). The paper introduces novel methods for multimodal spatial registration and automatic temporal synchronisation to verify data completeness onset which is imperative to avoid highly expensive reshoots or manual fixes in post-production. The system is deployed in major Hollywood film productions by DoubleNegative (dneg.com) and has attracted considerable interest as one of the first big data analysis solutions for media production.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -