X. Li’s scientific contributions

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Publications (1)


Spatial similarity retrieval of symbolic images with repeated symbols
  • Article

May 2013

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23 Reads

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1 Citation

Journal of Computational Information Systems

M. Li

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X. Li

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Y. Liu

The spatial relationship between the image internal objects is an important research field of image content retrieval and content mining. A problem associated with retrieval of symbolic images with repeated symbols is addressed and a novel similarity algorithm is proposed. Experimental results show that the algorithm is effective. With the aid of semi-structured storage model, a method of image symbolization is put forward, which is suitable for repeated symbols. As symbolic information and feature information were extracted and stored only once, this method can facilitate the achievement of image content mining processing.

Citations (1)


... The need for an efficient technique to store and retrieve images automatically based on their content is essential as this will speed the storing and retrieving process while enhancing the retrieval performance. In general, an image is retrieved either by high-level semantics, or by visual characteristics, or by their spatial relationships or by relative position of the icons [4] or symbols [5]. Two common kinds of representation of spatial relationship features are i) Topological relationships, which have been applied to Geographical Information System (GIS) due to their invariance under topological transformation, ii) Orientation or directional relationships, which concern partial and total orientation relationships among objects, describing where objects are placed relative to one another. ...

Reference:

User Perspectives on Spatial Relationships in Describing Images
Spatial similarity retrieval of symbolic images with repeated symbols
  • Citing Article
  • May 2013

Journal of Computational Information Systems