Iconic indexing by 2-D strings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Similarity retrieval of iconic image database
Pattern Recognition
2D C-string: a new spatial knowledge representation for image database systems
Pattern Recognition
Picture algebra for spatial reasoning of iconic images represented in 2D C-string
Pattern Recognition Letters
Retrieving the most similar symbolic pictures from pictorial databases
Information Processing and Management: an International Journal
An improved method for finding nearest neighbors
Pattern Recognition Letters
Application of geometric hashing to iconic database retrieval
Pattern Recognition Letters
Design and evaluation of algorithms for image retrieval by spatial similarity
ACM Transactions on Information Systems (TOIS)
Organizing Large Structural Modelbases
IEEE Transactions on Pattern Analysis and Machine Intelligence
An exact match retrieval scheme based upon principal component analysis
Pattern Recognition Letters
A spatial data representation: an adaptive 2D-H string
Pattern Recognition Letters
The LIVE-project: retrieval experiments based on evaluation viewpoints
SIGIR '85 Proceedings of the 8th annual international ACM SIGIR conference on Research and development in information retrieval
Retrieving similar pictures from a pictorial database by an improved hashing table
Pattern Recognition Letters
A note on adaptive 2D-H strings
Pattern Recognition Letters
Image retrieval based on object's orientation spatial relationship
Pattern Recognition Letters - Special issue on image/video indexing and retrieval
Similarity Searching in Medical Image Databases
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering
Fast and Effective Retrieval of Medical Tumor Shapes
IEEE Transactions on Knowledge and Data Engineering
Virtual Images for Similarity Retrieval in Image Databases
IEEE Transactions on Knowledge and Data Engineering
An Object-Oriented Fuzzy Data Model for Similarity Detection in Image Databases
IEEE Transactions on Knowledge and Data Engineering
Pattern Recognition Letters
Pattern Recognition Letters
Retrieval by spatial similarity: an algorithm and a comparative evaluation
Pattern Recognition Letters
On Visualization and Aggregation of Nearest Neighbor Classifiers
IEEE Transactions on Pattern Analysis and Machine Intelligence
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
A comprehensive conceptual analysis using ER and conceptual graphs
Journal of Experimental & Theoretical Artificial Intelligence - Special issue: conceptual graphs workshop
Retrieval of images by spatial and object similarities
Information Processing and Management: an International Journal
Graph-based representation for similarity retrieval of symbolic images
Data & Knowledge Engineering
SVARS: symbolic video archival and retrieval system
Proceedings of the Third Annual ACM Bangalore Conference
Multiple-instance image database retrieval by spatial similarity based on Interval Neighbor Group
Proceedings of the ACM International Conference on Image and Video Retrieval
Assessing the role of spatial relations for the object recognition task
CIARP'10 Proceedings of the 15th Iberoamerican congress conference on Progress in pattern recognition, image analysis, computer vision, and applications
Multimedia Tools and Applications
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In this paper, a novel method of representing symbolic images in a symbolic image database (SID) invariant to image transformations that is useful for exact match retrieval is presented. The relative spatial relationships existing among the components present in an image are perceived with respect to the direction of reference [15] and preserved by a set of triples. A distinct and unique key is computed for each distinct triple. The mean and standard deviation of the set of keys computed for a symbolic image are stored along with the total number of keys as the representatives of the corresponding image. The proposed exact match retrieval scheme is based on a modified binary search technique and, thus, requires O(log n) search time in the worst case, where n is the total number of symbolic images in the SID. An extensive experimentation on a large database of 22,630 symbolic images is conducted to corroborate the superiority of the model. The effectiveness of the proposed representation scheme is tested with standard testbed images.