https://researchdata.se/sv/catalogue Search results sv This database was created by a joint effort from the Realistic 3D research group at Mid Sweden University (Sundsvall, Sweden) and the School of Telecommunications Engineering in Xidian University (Xi'an, China). The database details are explained thoroughly in the publication, which is accepted (and to appear in the proceedings of) the 27th IEEE International Workshop on Multimedia Signal Processing (MMSP) in 2025.  You can use this database in your work under the Creative Commons Attribution 4.0 International (CC-BY 4.0) licence, provided that you cite the database as below: Zerman, E., Takhtardeshir, S., Trioux, A., Qin, J., Wu, W., Olsson, R., & Sjöström, M. (2025). Subjective Visual Quality Assessment of Compressed Light Field Images: Learning-based vs. Conventional Methods. The 27th IEEE International Workshop on Multimedia Signal Processing (MMSP).DOI: (To be updated after publication) BibTeX: @inproceedings{zerman2025subjective  title        = {Subjective Visual Quality Assessment of Compressed Light Field Images: Learning-based vs. Conventional Methods},  author       = {Zerman, Emin and Takhtardeshir, Soheib and Trioux, Anthony and Qin, Jianlong and Wu, Wenjie and Olsson, Roger and Sj{\"o}str{\"o}m, M{\aa}rten},  booktitle    = {The 27th IEEE International Workshop on Multimedia Signal Processing (MMSP)},  year         = {2025},  organization = {IEEE}} This database contains 85 light field stimuli, rendered as pseudo-video sequences with a spiral trajectory, and the subjective quality scores collected by 40 people in two different countries (19 in Mid Sweden University, Sweden; and 21 in Xidian University, China). The 85 LF stimuli were generated from 5 source LFs using 4 different LF compression methods, comprising two conventional methods (H.265/HEVC and JPEG Pleno) and two learning-based methods (RLVC and EF-VAE). Fri, 08 Aug 2025 00:00:00 GMT https://researchdata.se/sv/catalogue/dataset/doi-10-5281-zenodo-16778671 https://researchdata.se/sv/catalogue/dataset/doi-10-5281-zenodo-16778671 Mittuniversitetet Zerman, Emin Takhtardeshir, Soheib TRIOUX, Anthony Olsson, Roger Sjöström, Mårten This database is created by the Realistic 3D research group at Mid Sweden University, Sundsvall, Sweden. The database details are explained thoroughly in the publication which was published at the 16th International Conference on Quality of Multimedia Experience (QoMEX) in 2024. This database was also reviewed as part of the submission and publication process. You can use this database in your work under the Creative Commons Attribution 4.0 International (CC-BY 4.0) licence, provided that you cite the database as below: Zerman, E., Gond, M., Takhtardeshir, S., Olsson, R., & Sjöström, M. (2024). A Spherical Light Field Database for Immersive Telecommunication and Telepresence Applications. The 16th International Conference on Quality of Multimedia Experience (QoMEX). IEEE. DOI: 10.1109/QoMEX61742.2024.10598264 BibTeX: @inproceedings{zerman2024spherical,  title        = {A Spherical Light Field Database for Immersive Telecommunication and Telepresence Applications},  author       = {Zerman, Emin and Gond, Manu and Takhtardeshir, Soheib and Olsson, Roger and Sj{\"o}str{\"o}m, M{\aa}rten},  booktitle    = {The 16th International Conference on Quality of Multimedia Experience (QoMEX)},  year         = {2024},  organization = {IEEE},  doi          = {10.1109/QoMEX61742.2024.10598264}} This database contains 20 spherical light fields of 1 x 60 views, captured with a consumer-grade 360-degree camera: Insta360 X3. The capture was done using a dolly to ensure the separation between consecutive views is exactly 1 cm. In addition to the original captures, this database also provides outputs for two different use cases: compression and view synthesis. Several parameters, features, and objective quality metric values are also included. N.B. Only the README file and this description have been updated after the initial submission on 2024-02-09. Fri, 09 Feb 2024 00:00:00 GMT https://researchdata.se/sv/catalogue/dataset/doi-10-5281-zenodo-13342006 https://researchdata.se/sv/catalogue/dataset/doi-10-5281-zenodo-13342006 Mittuniversitetet Zerman, Emin Gond, Manu Takhtardeshir, Soheib Olsson, Roger Sjöström, Mårten