By chance is not enough: Preserving relative density through non uniform sampling

Enrico Bertini, Giuseppe Santucci

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Dealing with visualizations containing large data set is a challenging issue and, in the field of Information Visualization, almost every visual technique reveals its drawback when visualizing large number of items. To deal with this problem we introduce a formal environment, modeling in a virtual space the image features we are interested in (e.g, absolute and relative density, clusters, etc.) and we define some metrics able to characterize the image decay. Such metrics drive our automatic techniques (i.e., not uniform sampling) rescuing the image features and making them visible to the user. In this paper we focus on 2D scatter-plots, devising a novel non uniform data sampling strategy able to preserve in an effective way relative densities.

    Original languageEnglish (US)
    Title of host publicationProceedings of the International Conference on Information Visualization
    EditorsE. Banissi, K. Boner, C. Chen, M. Dastbaz, G. Clapworthy, A. Faiola, E. Izquierdo, C. Maple, J. Roberts, C. Moore
    Pages622-629
    Number of pages8
    Volume8
    StatePublished - 2004
    EventProceedings - Eighth International Conference on Information Visualisation, IV 2004 - London, United Kingdom
    Duration: Jul 14 2004Jul 16 2004

    Other

    OtherProceedings - Eighth International Conference on Information Visualisation, IV 2004
    CountryUnited Kingdom
    CityLondon
    Period7/14/047/16/04

    Fingerprint

    Visualization
    Sampling

    Keywords

    • Metrics
    • Non-uniform sampling
    • Visual clutter

    ASJC Scopus subject areas

    • Computer Science(all)
    • Engineering(all)

    Cite this

    Bertini, E., & Santucci, G. (2004). By chance is not enough: Preserving relative density through non uniform sampling. In E. Banissi, K. Boner, C. Chen, M. Dastbaz, G. Clapworthy, A. Faiola, E. Izquierdo, C. Maple, J. Roberts, ... C. Moore (Eds.), Proceedings of the International Conference on Information Visualization (Vol. 8, pp. 622-629)

    By chance is not enough : Preserving relative density through non uniform sampling. / Bertini, Enrico; Santucci, Giuseppe.

    Proceedings of the International Conference on Information Visualization. ed. / E. Banissi; K. Boner; C. Chen; M. Dastbaz; G. Clapworthy; A. Faiola; E. Izquierdo; C. Maple; J. Roberts; C. Moore. Vol. 8 2004. p. 622-629.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Bertini, E & Santucci, G 2004, By chance is not enough: Preserving relative density through non uniform sampling. in E Banissi, K Boner, C Chen, M Dastbaz, G Clapworthy, A Faiola, E Izquierdo, C Maple, J Roberts & C Moore (eds), Proceedings of the International Conference on Information Visualization. vol. 8, pp. 622-629, Proceedings - Eighth International Conference on Information Visualisation, IV 2004, London, United Kingdom, 7/14/04.
    Bertini E, Santucci G. By chance is not enough: Preserving relative density through non uniform sampling. In Banissi E, Boner K, Chen C, Dastbaz M, Clapworthy G, Faiola A, Izquierdo E, Maple C, Roberts J, Moore C, editors, Proceedings of the International Conference on Information Visualization. Vol. 8. 2004. p. 622-629
    Bertini, Enrico ; Santucci, Giuseppe. / By chance is not enough : Preserving relative density through non uniform sampling. Proceedings of the International Conference on Information Visualization. editor / E. Banissi ; K. Boner ; C. Chen ; M. Dastbaz ; G. Clapworthy ; A. Faiola ; E. Izquierdo ; C. Maple ; J. Roberts ; C. Moore. Vol. 8 2004. pp. 622-629
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