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Exploratory Multimodal Data Analysis with Standard Multimedia Player - Multimedia Containers: A Feasible Solution to Make Multimodal Research Data Accessible to the Broad Audience

Topics: Cognitive Models for Interpretation, Integration and Control; Image and Video Coding and Compression; Multimodal and Multi-Sensor Models of Image Formation

Authors: Julius Schöning 1 ; Anna L. Gert 1 ; Alper Açık 2 ; Tim C. Kietzmann 3 ; Gunther Heidemann 1 and Peter König 1

Affiliations: 1 Osnabrück University, Germany ; 2 Özyeğin University, Turkey ; 3 CB2 7EF and Medical Research Council, United Kingdom

Keyword(s): Multimodal Data Analysis, Visualization, Sonification, Gaze Data, EEG Data.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Coding and Compression ; Image Formation and Preprocessing ; Multimodal and Multi-Sensor Models of Image Formation

Abstract: The analysis of multimodal data comprised of images, videos and additional recordings, such as gaze trajectories, EEG, emotional states, and heart rate is presently only feasible with custom applications. Even exploring such data requires compilation of specific applications that suit a specific dataset only. This need for specific applications arises since all corresponding data are stored in separate files in custom-made distinct data formats. Thus accessing such datasets is cumbersome and time-consuming for experts and virtually impossible for non-experts. To make multimodal research data easily shareable and accessible to a broad audience, like researchers from diverse disciplines and all other interested people, we show how multimedia containers can support the visualization and sonification of scientific data. The use of a container format allows explorative multimodal data analyses with any multimedia player as well as streaming the data via the Internet. We prototyped this ap proach on two datasets, both with visualization of gaze data and one with additional sonification of EEG data. In a user study, we asked expert and non-expert users about their experience during an explorative investigation of the data. Based on their statements, our prototype implementation, and the datasets, we discuss the benefit of storing multimodal data, including the corresponding videos or images, in a single multimedia container. In conclusion, we summarize what is necessary for having multimedia containers as a standard for storing multimodal data and give an outlook on how artificial networks can be trained on such standardized containers. (More)

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Paper citation in several formats:
Schöning, J.; Gert, A.; Açık, A.; Kietzmann, T.; Heidemann, G. and König, P. (2017). Exploratory Multimodal Data Analysis with Standard Multimedia Player - Multimedia Containers: A Feasible Solution to Make Multimodal Research Data Accessible to the Broad Audience. In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP; ISBN 978-989-758-225-7; ISSN 2184-4321, SciTePress, pages 272-279. DOI: 10.5220/0006260202720279

@conference{visapp17,
author={Julius Schöning. and Anna L. Gert. and Alper A\c{C}ık. and Tim C. Kietzmann. and Gunther Heidemann. and Peter König.},
title={Exploratory Multimodal Data Analysis with Standard Multimedia Player - Multimedia Containers: A Feasible Solution to Make Multimodal Research Data Accessible to the Broad Audience},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP},
year={2017},
pages={272-279},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006260202720279},
isbn={978-989-758-225-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP
TI - Exploratory Multimodal Data Analysis with Standard Multimedia Player - Multimedia Containers: A Feasible Solution to Make Multimodal Research Data Accessible to the Broad Audience
SN - 978-989-758-225-7
IS - 2184-4321
AU - Schöning, J.
AU - Gert, A.
AU - Açık, A.
AU - Kietzmann, T.
AU - Heidemann, G.
AU - König, P.
PY - 2017
SP - 272
EP - 279
DO - 10.5220/0006260202720279
PB - SciTePress