id: 05646964
dt: a
an: 05646964
au: Liu, Yi; Takatsuka, Masahiro
ti: Interactive hierarchical SOM for image retrieval visualization.
so: Leung, Chi Sing (ed.) et al., Neural information processing. 16th
    international conference, ICONIP 2009, Bangkok, Thailand, December
    1‒5, 2009. Proceedings, Part II. Berlin: Springer (ISBN
    978-3-642-10682-8/pbk). Lecture Notes in Computer Science 5864, 845-854
    (2009).
py: 2009
pu: Berlin: Springer
la: EN
cc: 
ut: Content-based Image Retrieval; Information Visualization; Hierarchical
    Self-organizing Map; Learning Vector Quantization
ci: 
li: doi:10.1007/978-3-642-10684-2_95
ab: Summary: This paper presents an interactive hierarchical visualization
    system for an image retrieval application. This visualization system
    needs to present the similarities of images. Furthermore, it is
    required to provide an easy way to explore and navigate images’
    feature space at different levels of detail. Our system utilizes a
    Multi-layer Geodesic Self-Organizing Map (GeodesicSOM) and Learning
    Vector Quantization (LVQ) to increase the accuracy in data
    representation at different levels of detail. The Multi-layer
    GeodesicSOM provides fast access/navigation to a large amount of image
    data while the LVQ rectifies the inconsistency in topological data
    representation between different layers.
rv: