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Invariant Image Recognition by Zernike Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Content-Based Image and Video Retrieval
Perspectives on Content-Based Multimedia Systems
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3D zernike descriptors for content based shape retrieval
SM '03 Proceedings of the eighth ACM symposium on Solid modeling and applications
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WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
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International Journal of Computer Vision
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Pattern Recognition Letters
A novel approach to the fast computation of Zernike moments
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Image and Vision Computing
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Information Sciences: an International Journal
Accurate Computation of Zernike Moments in Polar Coordinates
IEEE Transactions on Image Processing
TVS '08 Proceedings of the 2nd ACM TRECVid Video Summarization Workshop
Efficient Grid-Based Video Storage and Retrieval
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part I on On the Move to Meaningful Internet Systems:
Shot boundary detection using Zernike moments in multi-GPU multi-CPU architectures
Journal of Parallel and Distributed Computing
Perceptual indiscernibility, rough sets, descriptively near sets, and image analysis
Transactions on Rough Sets XV
Scalable shot boundary detection
The Journal of Supercomputing
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This paper presents a study about the application of Zernike invariants to content-based Image Retrieval for 2D color images. Zernike invariants have been chosen because of their good performance for object recognition. Taking into account the good results achieved in previous CBIR experiments with color based primitives using a multiresolution representation of the visual contents, this paper presents the application of a wavelet transform to the images in order to obtain a multiresolution representation of the shape based features studied. Experiments have been performed using two databases: the first one is a small self-made 2D color database formed by 298 RGB images and a test set with 1655 query images that has been used for preliminary tests; the second one is Also experiments using the Amsterdam Library of Object Images (ALOI), a free access database. Experimental results show the feasibility of this new approach.