Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/28565
Title: Interactive visualization of high density streaming points with heat-map
Authors: Li, C
Baciu, G 
Han, Y
Keywords: Heat-map
Information visualization
Large data
Streaming points
Visual interaction
Issue Date: 2014
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: Proceedings of 2014 International Conference on Smart Computing, SMARTCOMP 2014, 2014, 7043852, p. 145-149 How to cite?
Abstract: Visualization of high density streaming points has become a challenge in information exploration. In this paper, we present a new pipeline for the interactive visualization of large points set. The pipeline is based on the idea that heat-map can overcome the overlapping problem in visualization of high density streaming points. Thus, we firstly define a regular streaming format for large point set which can be updated or changed continually. Based on streaming points, we use kernel density estimation to estimate the point distribution and visualize the density image. Perceptive and interactive features are also considered in our visualization. To our knowledge, our pipeline is the first work that focuses on perceptive visualization of high density streaming points. The main step of our pipeline is accelerated via GPU rendering in order to make scene of real-time interaction in visualization. We demonstrate the visual effectiveness of our pipeline on a geographical dataset of high-density streaming points.
Description: 2014 1st International Conference on Smart Computing, SMARTCOMP 2014, Hong Kong, 3-5 November 2014
URI: http://hdl.handle.net/10397/28565
ISBN: 9781479957125
DOI: 10.1109/SMARTCOMP.2014.7043852
Appears in Collections:Conference Paper

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