Special issue on information visualisation

We are in the Big Data era, characterized by an increasing amount of information generated everyday by all the phenomena concerning our life. These data are collected by many information sources and systems ranging from IoT sensors, large databases, social networks and interactive platforms, as well as generic media like images, videos and audios. Thus, to be able to comprehend the phenomena underlying this data there is the need of designing effective visualization tools. The papers selected for this special issue outline and evaluate some recent works on multimedia tools for information visualization and interaction with various types of data, including textual documents, graphs, spatio-temporal data, multimedia contents, and musical data. The international conference on information Visualisation (iV), one of the longest running on the subject has open forum philosophy of interdisciplinary drive to define its subject theme and discussion and focus group. This special issue ofMultimedia Tools and Applications for Information Visualisation is based on the handful of submissions to the 22nd International Conference on Information Visualisation (iV18), which was held in Italy in July 2018. The selected papers give examples of techniques, domains and number of case studies to address some issues. The papers presented in this Special Issue investigate different aspects of the theme highlighted above. The first set of papers [1, 2, 12, 16] investigate and evaluate the visualization of spatial, temporal and spatio-temporal data. Almeida et al. [2] consider how and why consideration of Level of Detail (LoD) plays a crucial role in analytics. They propose a Visual Analytics approach VAST, allows users to simultaneous inspection of phenomenon using different LoDs. VAST demonstrates using LoDs will reveal different prospective and hence portraying different perception of the phenomenon. Multimedia Tools and Applications https://doi.org/10.1007/s11042-019-08287-5

[1]  Michael Burch,et al.  Volume-based large dynamic graph analysis supported by evolution provenance , 2019, Multimedia Tools and Applications.

[2]  Mitsuo Yoshida,et al.  Spatio-Temporal Visualization of Tweet Data around Tokyo Disneyland Using VR , 2018, IUI Companion.

[3]  Giuseppe Scanniello,et al.  The city metaphor in software visualization: feelings, emotions, and thinking , 2019, Multimedia Tools and Applications.

[4]  David J. Roberts,et al.  Collaborative virtual reality platform for visualizing space data and mission planning , 2019, Multimedia Tools and Applications.

[5]  Paolo Buono,et al.  MonitorApp: a web tool to analyze and visualize pollution data detected by an electronic nose , 2019, Multimedia Tools and Applications.

[6]  Maribel Yasmina Santos,et al.  Visual analytics for spatiotemporal events , 2019, Multimedia Tools and Applications.

[7]  Maria Beatriz Carmo,et al.  VisuaLeague: Player performance analysis using spatial-temporal data , 2019, Multimedia Tools and Applications.

[8]  Giovanna Castellano,et al.  RECODE: revision control for digital images , 2019, Multimedia Tools and Applications.

[9]  Johann Gamper,et al.  Visual time period analysis: a multimedia analytics application for summarizing and analyzing eye-tracking experiments , 2019, Multimedia Tools and Applications.

[10]  Antonina Dattolo,et al.  Exploring AppInventory, a visual catalog of applications for assisting teachers and students , 2019, Multimedia Tools and Applications.

[11]  Maria De Marsico,et al.  MIMOSE: multimodal interaction for music orchestration sheet editors , 2019, Multimedia Tools and Applications.

[12]  Jean-Baptiste Lamy,et al.  Visualizing undirected graphs and symmetric square matrices as overlapping sets , 2019, Multimedia Tools and Applications.

[13]  Francisco J. Perales,et al.  Evaluation of a VR system for Pain Management using binaural acoustic stimulation , 2019, Multimedia Tools and Applications.

[14]  Masood Masoodian,et al.  Visualizing narrative patterns in online news media , 2019, Multimedia Tools and Applications.

[15]  Andrea F. Abate,et al.  Achieving efficient source camera identification on Hadoop , 2019, Multimedia Tools and Applications.

[16]  Vincenzo Deufemia,et al.  Visualization of (multimedia) dependencies from big data , 2019, Multimedia Tools and Applications.

[17]  Delfina Malandrino,et al.  Learning the harmonic analysis: is visualization an effective approach? , 2019, Multimedia Tools and Applications.

[18]  Michael Burch,et al.  Volume-Based Large Dynamic Graph Analytics , 2018, 2018 22nd International Conference Information Visualisation (IV).

[19]  Paloma Díaz,et al.  A taxonomy generation tool for semantic visual analysis of large corpus of documents , 2019, Multimedia Tools and Applications.

[20]  Mitsuo Yoshida,et al.  VR system for spatio-temporal visualization of tweet data and support of map exploration , 2018, Multimedia Tools and Applications.