Multi-focus and multi-level techniques for visualization and analysis of networks with thematic data

Cossalter, Michele; Mengshoel, Ole J.; Selker, Ted

doi:10.1117/12.2005096

Cited by 4 publications

(2 citation statements)

References 52 publications

(74 reference statements)

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“…Relevant cases in which multilevel data exploration has been used are represented by large data structures used to represent several different domains among which networks and social environments, and the visualization of multidimensional data in scientific analysis seems to be predominant [9,10,19].…”

Section: Introductionmentioning

confidence: 99%

A Design Space for Exploring Rich and Complex Information Environments

Celentano

Dubois

2015

Proceedings of the 11th Biannual Conference of the Italian SIGCHI Chapter

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In this paper we discuss the visualization and interaction paradigms based on overview+detail and focus+context models, proposing a design methodology suitable for rich information environments, made of multivariate data and multidevice deployment. We propose to identify a set of meaningful categories of information visualization and interaction corresponding to different user goals and exploration spaces, starting from a global universe of discourse and going down into the ultimate data items, through discrete intermediate steps corresponding to structured context and overview levels. Each category defines an association with a specific knowledge goal, the deployment on a suitable class of devices and the access through adequate interaction techniques. Such design methodology is applied to two case studies, one in the domain of energy consumption management, the other in cultural heritage fruition.

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Section: Introductionmentioning

confidence: 99%

A Design Space for Exploring Rich and Complex Information Environments

Celentano

Dubois

2015

Proceedings of the 11th Biannual Conference of the Italian SIGCHI Chapter

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“…Such interfaces improve the users' ability (1) to better understand the meaning of a specific information, (2) to capture the relations between the information components, their details, etc., and (3) to filter, select and compare contents according to specific knowledge goals and application needs. Concrete examples of the use of this kind of interactive situations are documented in the exploration of networks, social environments, for the analysis and visualization of multidimensional scientific data and for exploration of information related to real and virtual spaces represented on a map [1,15,17,20,29,40].…”

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confidence: 99%

A layered structure for a design space dedicated to rich interactive multimedia content

Celentano

Dubois

2016

Multimed Tools Appl

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In this paper we propose and discuss a layered organization for a design space suitable for the visualization of and interaction with rich information environments, made of multimedia and multidimensional information, supporting multi-device deployment. We propose to associate each design space layer to a different category of information, corresponding to different user goals and exploration spaces. Extending the focus+context and overview+detail approaches typical of complex information visualization, the layered design space and the associated information categories cover a wide range from a global universe of discourse down into the ultimate data items, through discrete intermediate steps corresponding to refinements of details and of navigation functions. Each category defines an association with a specific knowledge goal, the deployment on a suitable class of devices and the access through adequate interaction techniques. Such design process is applied to two case studies, one in the domain of cultural heritage fruition, the other in energy consumption management.

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Multilevel Focus+Context Visualization Using Balanced Multiresolution

Hasan

Samavati

Jacob

2014

2014 International Conference on Cyberworlds

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Figure 1: Multilevel focus+context visualization of a Plumeria rubra leaf with frangipani rust. Source image: 10496×3328 (S. Fraser-Smith, Wikipedia).Abstract-In this paper, we present the construction of a multilevel focus+context visualization framework for the navigation and exploration of large-scale 2D and 3D images. The presented framework utilizes a balanced multiresolution (BMR) technique supported by a balanced wavelet transform (BWT). This devised framework extends the mode of focus+context visualization, where spatially separate magnification of regions of interest (ROIs) is performed, as opposed to in-place magnification. Each resulting visualization scenario resembles a tree structure, where the root constitutes the main context, each non-root internal node plays the dual roles of both focus and context, and each leaf solely represents a focus. We use the local multiresolution filters of quadratic B-spline to construct the BWT. Our developed prototype supports interactive manipulation of the visualization hierarchy, such as addition and deletion of ROIs and desired changes in their resolutions at any level of the hierarchy on the fly. Changes in the spatial locations of query windows that define the ROIs trigger on-demand reconstruction queries. We describe in detail how to efficiently process such reconstruction queries within the hierarchy of details (wavelet coefficients) contained in the BWT in order to ensure real-time feedback. As the BWT need only be constructed once in a preprocessing phase on the server-side and robust on-demand reconstruction queries require minimal data communication overhead, our presented framework is a suitable candidate for efficient web-based visualization and exploration of complex large-scale imagery.

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Multi-focus and multi-level techniques for visualization and analysis of networks with thematic data

Cited by 4 publications

References 52 publications

A Design Space for Exploring Rich and Complex Information Environments

A Design Space for Exploring Rich and Complex Information Environments

A layered structure for a design space dedicated to rich interactive multimedia content

Multilevel Focus+Context Visualization Using Balanced Multiresolution

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