Y. Avrithis, Y. Xirouhakis and S. Kollias |
Affine Invariant Representation and Classification of Object Contours for Image and Video Retrieval |
Proceedings of the 3rd IMACS International Multiconference on Circuits, Systems, Communications and Computers (CSCC '99), Athens, Greece |
ABSTRACT
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Recent literature comprises a large number of papers on the query and retrieval of visual information based on its content. At the same time, a number of prototype systems have been implemented enabling searching through on-line image databases and still image retrieval. However, it has been often pointed out that meaningful/semantic information should be extracted from visual information in order to improve the efficiency and functionality of a content-based retrieval tool. In this context, present work focuses on the extraction of objects from images and video clips and modeling of the resulting object contours using B-splines. Affine-invariant curve representation is obtained through Normalized Fourier descriptors (NFD), curve moments, as well as a novel curve normalization algorithm that leads to major preservation of object shape information. A neural network approach is employed for supervised classification of video objects into prototype object classes. Experiments on several real-life and simulated video sequences are included to evaluate the classification results for all affine-invariant representations used.
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01 January , 1999 |
Y. Avrithis, Y. Xirouhakis and S. Kollias, "Affine Invariant Representation and Classification of Object Contours for Image and Video Retrieval", Proceedings of the 3rd IMACS International Multiconference on Circuits, Systems, Communications and Computers (CSCC '99), Athens, Greece |
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