Gaze data on video stimuli for computer vision and visual analytics. Converted 318 video sequences from several different gaze tracking data sets with polygon based object annotation all stored in the same format; allowing to visualize these data with standard multimedia players (e.g. VLC player). Aims: - visual analytics of gaze data, - learning gaze behavior on video with artificial neural networks, - gaze empowered segmentation and object detection. (J. Schning et al.; Biologically Inspired Computer Vision Group at Osnabrck Institute of Cognitive Science, Germany) J. Schning, P. Faion, G. Heidemann & U. Krumnack. Providing Video Annotations in Multimedia Containers for Visualization and Research. In IEEE Winter Conference on Applications of Computer Vision (WACV) 2017. IEEE. DOI: J. Schning, A.L. Gert, A. Aik, T.C. Kietzmann, G. Heidemann & P. Knig. 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 Joint Conference on Computer Vision, Imagingand Computer Graphics Theory and Applications (VISAPP), pages: 272-279, ISBN: 978-989-758-225-7, 2017. SCITEPRESS. DOI:

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