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    A Model for Progressive Transmission of Spatial Data Based on Shape Complexity


    Ying, Fangli and Mooney, Peter and Corcoran, Padraig and Winstanley, Adam C. (2010) A Model for Progressive Transmission of Spatial Data Based on Shape Complexity. SIGSPATIAL Special, 2 (3). pp. 25-30. ISSN 1946-7729

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    Abstract

    Due to the limited bandwidth available to mobile devices transmitting large amount of geographic data over the Internet to these devices is challenging. Such data is often high-resolution vector data and is far too detailed with respect to most location-based services (LBS) user requirements. A less detailed version may be sent prior to the complete dataset using a progressive transmission strategy. Progressive transmission is generally performed by transmitting a series of independent pre-computed representations of the original dataset at increasing levels of detail where the transitions between these levels are not necessarily smooth. A model is proposed in this paper for selective progressive transmission which will provide smoother transmission over increasing levels of detail. We define criteria for the comparison of similarity between the progressive states of the vector-data based on shape complexity of the polygon features. This allows development of a real-time strategy for the progressive transmission of vector data over the Internet to mobile devices.

    Item Type: Article
    Additional Information: This paper was presented at the 18th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS 2010), San Jose, 2-5 November 2010
    Keywords: Progressive Transmission; Vector data; Shape Complexity; OpenStreetMap;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 4927
    Identification Number: https://doi.org/10.1145/1953102.1953107
    Depositing User: Dr. Adam Winstanley
    Date Deposited: 29 Apr 2014 14:11
    Journal or Publication Title: SIGSPATIAL Special
    Publisher: ACM
    Refereed: Yes
    URI:
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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