A Visualization and Level-of-Detail Control Technique for Large Scale Time Series Data

Uchida, Yumiko; Itoh, Takayuki

doi:10.1109/iv.2009.33

Cited by 10 publications

(3 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We have presented a polyline-based time-varying data visualization technique [9], which is close to combination and extension of the above existing techniques. The technique applies polylines clustering to reduce of drawing polylines for overview and level of detail control.…”

Section: Related Workmentioning

confidence: 99%

A 3D Visualization Technique for Large Scale Time-Varying Data

Imoto

Itoh

2010

2010 14th International Conference Information Visualisation

Self Cite

View full text Add to dashboard Cite

show abstract

Section: Related Workmentioning

confidence: 99%

A 3D Visualization Technique for Large Scale Time-Varying Data

Imoto

Itoh

2010

2010 14th International Conference Information Visualisation

Self Cite

View full text Add to dashboard Cite

show abstract

“…Wang et al presented a technique for important polyline selection [7]. Recently we presented two time-varying data visualization techniques, featuring sketch query on the clustered view [6], and pattern display on the heatmap [4].…”

Section: Introductionmentioning

confidence: 99%

“…2 Level-of-detail control for time varying data visualization This section briefly introduces a level-of-detail control and sketch interface [6] for time-varying data visualization previously we presented.…”

Section: Introductionmentioning

confidence: 99%

A Polyline-based Visualization Technique for Tagged Time-varying Data

Yagi

Uchida

Itoh

2012

2012 16th International Conference on Information Visualisation

Self Cite

View full text Add to dashboard Cite

show abstract

SingDistVis: interactive Overview+Detail visualization for F0 trajectories of numerous singers singing the same song

Itoh,

Nakano,

Fukayama

et al. 2024

Multimed Tools Appl

View full text Add to dashboard Cite

This paper describes SingDistVis, an information visualization technique for fundamental frequency (F0) trajectories of large-scale singing data where numerous singers sing the same song. SingDistVis allows to explore F0 trajectories interactively by combining two views: OverallView and DetailedView. OverallView visualizes a distribution of the F0 trajectories of the song in a time-frequency heatmap. When a user specifies an interesting part, DetailedView zooms in on the specified part and visualizes singing assessment (rating) results. Here, it displays high-rated singings in red and low-rated singings in blue. When the user clicks on a particular singing, the audio source is played and its F0 trajectory through the song is displayed in OverallView. We selected heatmap-based visualization for OverallView to provide an overview of a large-scale F0 dataset, and polyline-based visualization for DetailedView to provide a more precise representation of a small number of particular F0 trajectories. This paper introduces a subjective experiment using 1,000 singing voices to determine suitable visualization parameters. Then, this paper presents user evaluations where we asked participants to compare visualization results of four types of Overview+Detail designs and concluded that the presented design archived better evaluations than other designs in all the seven questions. Finally, this paper describes a user experiment in which eight participants compare SingDistVis with a baseline implementation in exploring interested singing voices and concludes that the proposed SingDistVis archived better evaluations in nine of the questions.

show abstract

A Visualization and Level-of-Detail Control Technique for Large Scale Time Series Data

Cited by 10 publications

References 11 publications

A 3D Visualization Technique for Large Scale Time-Varying Data

A 3D Visualization Technique for Large Scale Time-Varying Data

A Polyline-based Visualization Technique for Tagged Time-varying Data

SingDistVis: interactive Overview+Detail visualization for F0 trajectories of numerous singers singing the same song

Contact Info

Product

Resources

About