Fast and Effective Retrieval of Medical Tumor Shapes
IEEE Transactions on Knowledge and Data Engineering
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Matching and Retrieval of Distorted and Occluded Shapes Using Dynamic Programming
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dynamic vp-tree indexing for n-nearest neighbor search given pair-wise distances
The VLDB Journal — The International Journal on Very Large Data Bases
Efficient retrieval of similar shapes
The VLDB Journal — The International Journal on Very Large Data Bases
Content-based trademark retrieval system using visually salient features
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Identifying similarities, periodicities and bursts for online search queries
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Noise Control Boundary Image Matching Using Time-Series Moving Average Transform
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
Efficiently finding unusual shapes in large image databases
Data Mining and Knowledge Discovery
The VLDB Journal — The International Journal on Very Large Data Bases
Automatic image analysis process for the detection of concealed weapons
Proceedings of the 5th Annual Workshop on Cyber Security and Information Intelligence Research: Cyber Security and Information Intelligence Challenges and Strategies
Kernels for Periodic Time Series Arising in Astronomy
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Scaling-invariant boundary image matching using time-series matching techniques
Data & Knowledge Engineering
An envelope-based approach to rotation-invariant boundary image matching
DaWaK'11 Proceedings of the 13th international conference on Data warehousing and knowledge discovery
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We present data representations, distance measures and organizational structures for fast and efficient retrieval of similar shapes in image databases. Using the Hough Transform we extract shape signatures that correspond to important features of an image. The new shape descriptor is robust against line discontinuities and takes into consideration not only the shape boundaries, but also the content inside the object perimeter. The object signatures are eventually projected into a space that renders them invariant to translation, scaling and rotation. In order to provide support for real-time query-by-content, we also introduce an index structure that hierarchically organizes compressed versions of the extracted object signatures. In this manner we can achieve a significant performance boost for multimedia retrieval. Our experiments suggest that by exploiting the proposed framework, similarity search in a database of 100,000 images would require under 1 sec, using an off-the-shelf personal computer.