Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/37037
Title: SLF4Web - MPEG-DASH datasets of static light fields
Data Creator - person: WIJNANTS, Maarten 
LIEVENS, Hendrik 
MICHIELS, Nick 
PUT, Jeroen 
QUAX, Peter 
LAMOTTE, Wim 
Data Curator - person: WIJNANTS, Maarten 
Rights Holder - person: WIJNANTS, Maarten 
Publisher: Zenodo
Issue Date: 2021
Abstract: MPEG-DASH datasets for the SLF4Web research project. SLF4Web is a Web-based implementation of a static light field consumption system; it allows SLF datasets to be adaptively streamed over the network (via MPEG-DASH) and then to be visualized in a vanilla Web browser. The datasets are encoded using the H.264/AVC video codec. A subset of the datasets are available in multiple qualities to allow for adaptive network streaming. The SLF4Web source code is available on GitHub (https://github.com/EDM-Research/SLF4Web) and as a bundle at https://zenodo.org/badge/latestdoi/432214902.
Research Discipline: Natural sciences > Mathematical sciences > Applied mathematics in specific fields > Computer science (01010304)
Keywords: Static light field;MPEG-DASH;H.264/AVC
DOI: 10.5281/zenodo.5730526
Link to publication/dataset: https://zenodo.org/record/5730526
Source: Zenodo. 10.5281/zenodo.5730526 https://zenodo.org/record/5730526
Publications related to the dataset: 10.1145/3281505.3281539
License: Creative Commons Attribution 4.0 International (CC-BY-4.0)
Access Rights: Open Access
Version: 0.1.0
Category: DS
Type: Dataset
Appears in Collections:Datasets

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