Interactive Indexing and Retrieval of Multimedia Content
SOFSEM '02 Proceedings of the 29th Conference on Current Trends in Theory and Practice of Informatics: Theory and Practice of Informatics
Object descriptors based on a list of rectangles: method and algorithm
ISMM'11 Proceedings of the 10th international conference on Mathematical morphology and its applications to image and signal processing
Robust analysis of silhouettes by morphological size distributions
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
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We report on new form of multivariate granulometries based on rectangles of varying size and aspect ratio. These granulometries are used for describing visual similarity between document images. Rectangular granulometries are used to probe the layout structure of document images, and the rectangular size distributions derived from them are used as descriptors for each image. Feature selection is used to reduce the dimensionality and redundancy of thesize distributions, while preserving the essence of the visual appearance of a document. Experimental results indicate that rectangular size distributions are an effective way tocharacterize visual similarity of document images, and provide insightful interpretation of classification results in the original image space.