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Index trees for efficient deformable shape-based retrieval

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2 Author(s)
Lifeng Liu ; Dept. of Comput. Sci., Boston Univ., MA, USA ; Sclaroff, S.

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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Content-based Access of Image and Video Libraries, 2000. Proceedings. IEEE Workshop on

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