ForecasterFlexOBM: A multi-view audio-visual dataset for flexible object-based media production

Davide Berghi^1, Craig Cieciura^1, Farshad Einabadi^1, Maxine Glancy^2,

Oliver Camilleri¹, Philip Foster¹, Asmar Nadeem¹, Faegheh Sardari¹, Jinzheng Zhao¹,

Marco Volino¹, Armin Mustafa¹, Philip Jackson¹, Adrian Hilton¹

¹Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, Guildford, UK

²BBC R&D, London, UK

^*Equal contributions.

Dataset Entries

OVERVIEW

This page contains the instructions to download the dataset of the paper "ForecasterFlexOBM: A multi-view audio-visual dataset for flexible object-based media production". Before you download the dataset, you must first accept the licence conditions below.

LICENCE AGREEMENT

The dataset is freely available under the following terms and conditions:

All original images and associated data provided may be used for non-commercial research purposes only.
The source of the dataset must be acknowledged in all publications where they are used. This should be done by referencing all of the following:
- The dataset DOI: 10.15126/surreydata.900912
- This webpage: https://cvssp.org/data/forecasterflexobm
- The corresponding publication: @inproceedings{ title={ForecasterFlexOBM: A multi-view audio-visual dataset for flexible object-based media production}, author={Davide Berghi, Craig Cieciura, Farshad Einabadi, Maxine Glancy, Oliver Camilleri, Philip Foster, Asmar Nadeem, Faegheh Sardari, Jinzheng Zhao, Marco Volino, Armin Mustafa, Philip Jackson, Adrian Hilton}, booktitle={IEEE International Conference on Multimedia and Expo (ICME)}, publisher={IEEE}, year={2024} }
The data may not be redistributed.

DOWNLOAD

To access, download and/or use the data you must agree to the terms and conditions outlined in the Licence Agreement above.
If you agree, please compile and submit the form below. Upon submission, you will receive an automatic email containing the username and password needed to access the download page.

If you encounter any issues while filling the form or did not receive the automatic response, please contact davide.berghi@surrey.ac.uk, c.cieciura@surrey.ac.uk, or farshad.einabadi@surrey.ac.uk. We will manually send you the credentials to access the download page.

Once you have received the username and password:

ForecasterFlexOBM: A multi-view audio-visual dataset for flexible object-based media production

Davide Berghi*1, Craig Cieciura*1, Farshad Einabadi*1, Maxine Glancy*2,

Oliver Camilleri1, Philip Foster1, Asmar Nadeem1, Faegheh Sardari1, Jinzheng Zhao1,

Marco Volino1, Armin Mustafa1, Philip Jackson1, Adrian Hilton1

1Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, Guildford, UK

2BBC R&D, London, UK

*Equal contributions.