Publikation: Using Entropy Impurity for Improved 3D Object Similarity Search
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2004
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2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763). IEEE, 2004, pp. 1303-1306. ISBN 0-7803-8603-5. Available under: doi: 10.1109/ICME.2004.1394465
Zusammenfassung
Similarity search in 3D object databases is becoming an important problem in multimedia retrieval, with many practical applications. We investigate methods for improving the effectiveness in a retrieval system that implements multiple feature extraction algorithms to choose from. Our techniques are based on the entropy impurity measure, widely used in the context of decision trees. We propose a method for the a priori estimation of individual feature vector performance given a query. We then define two approaches that use this estimator to improve the retrieval effectiveness. Our experimental results show that significant improvements are achievable using these methods.
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2004 IEEE International Conference on Multimedia and Expo (ICME), Taipei, Taiwan
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BUSTOS CÁRDENAS, Benjamin Eugenio, Daniel A. KEIM, Dietmar SAUPE, Tobias SCHRECK, Dejan V. VRANIĆ, 2004. Using Entropy Impurity for Improved 3D Object Similarity Search. 2004 IEEE International Conference on Multimedia and Expo (ICME). Taipei, Taiwan. In: 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763). IEEE, 2004, pp. 1303-1306. ISBN 0-7803-8603-5. Available under: doi: 10.1109/ICME.2004.1394465BibTex
@inproceedings{BustosCardenas2004Using-5418,
year={2004},
doi={10.1109/ICME.2004.1394465},
title={Using Entropy Impurity for Improved 3D Object Similarity Search},
isbn={0-7803-8603-5},
publisher={IEEE},
booktitle={2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763)},
pages={1303--1306},
author={Bustos Cárdenas, Benjamin Eugenio and Keim, Daniel A. and Saupe, Dietmar and Schreck, Tobias and Vranić, Dejan V.}
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