Iconic indexing by 2-D strings
IEEE Transactions on Pattern Analysis and Machine Intelligence
2D C-string: a new spatial knowledge representation for image database systems
Pattern Recognition
Symbol Recognition by Error-Tolerant Subgraph Matching between Region Adjacency Graphs
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Modern Information Retrieval
A New Method of image Compression Using Irreducible Covers of Maximal Rectangles
IEEE Transactions on Software Engineering
2D Projection Interval Relationships: A Symbolic Representation of Spatial Relationships
SSD '95 Proceedings of the 4th International Symposium on Advances in Spatial Databases
A Structural Approach to Recognizing Incomplete Graphic Objects
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Efficient Retrieval by Shape Content
ICMCS '99 Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02
Retrieval by shape similarity with perceptual distance andeffective indexing
IEEE Transactions on Multimedia
Shape retrieval based on dynamic programming
IEEE Transactions on Image Processing
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Visual similarity evaluation plays an important role in intelligent graphics system. A basic problem of it is how to extract the content information of an image and how to describe the information with an intermediate representation, namely, image representation, because the image representation has great influence on the efficiency and performance of the similarity evaluation. In this paper, we focus on the domain of symbolic image recognition and introduce the Directional Division Tree representation, which is the image representation used in our algorithm. The conducted experiment shows that similarity evaluation algorithm based on this representation can yield satisfactory efficiency and performance.