An improved method for deformable shape-based image indexing and retrieval is described. A pre-computed index tree is used to improve the speed of our previously reported online model fitting method; simple shape features are used as keys in a pre-generated index tree of model instances. A coarse-to-fine indexing scheme is used at different levels of the tree to further improve speed. Experimental results show that the speedup is significant, while the accuracy of shape-based indexing is maintained. A method for shape population-based retrieval is also described. The method allows query formulation based on the population distributions of shapes in each image. Results of population-based queries for a database of blood cell micrographs are shown.


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    Title :

    Index trees for efficient deformable shape-based retrieval


    Contributors:
    Lifeng Liu, (author) / Sclaroff, (author)


    Publication date :

    2000-01-01


    Size :

    1103350 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Index Trees for Efficient Deformable Shape-based Retrieval

    Liu, L. / Sclaroff, S. / IEEE | British Library Conference Proceedings | 2000




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