Download PDF by Zongmin Ma: Artificial intelligence for maximizing content based image

By Zongmin Ma

ISBN-10: 1605661740

ISBN-13: 9781605661742

ISBN-10: 1605661759

ISBN-13: 9781605661759

The expanding development of multimedia facts use is probably going to speed up developing an pressing desire of supplying a transparent technique of shooting, storing, indexing, retrieving, reading, and summarizing information via snapshot information.

Artificial Intelligence for Maximizing content material dependent picture Retrieval discusses significant facets of content-based snapshot retrieval (CBIR) utilizing present applied sciences and purposes in the synthetic intelligence (AI) box. offering cutting-edge learn from prime overseas specialists, this publication bargains a theoretical point of view and useful recommendations for academicians, researchers, and practitioners.

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Paper presented at the internal meeting of the Los Alamos National Laboratory, Space and Remote Sensing Sciences, Santa Fe Institute. Cheng, M. Y. , & Cohen, R. (2005). Adjusting the autonomy of collections of agents in multiagent Ssystems. In Advances in Artificial Intelligence, 3501, 2005 (pp. 33-37). Springer Berlin / Heidelberg Publisher. , & Huang, T. S. (2004). A framework for grid-based image retrieval. 17th International Conference on Pattern Recognition, 2, ICPR’04 (pp. 1021-1024). IEEE Computer Society Press.

In this way from a single image, in training data set, it is possible to obtain several images, where every obtained image represents a level of the Gaussian Pyramid (source image is the pyramid base, and the other sub-sampled images represents respectively the first level, the second level, and so on). All these images are used to understand the variation, quality and quantity of patterns/features into the image application domain. In fact in this way it is possible to obtain a more rich informative content about researched patterns/features.

2006). Advances in image and video segmentation. Idea Group Inc (IGI) Press. , & Li, Y. (2007). New model for multi-objective evolutionary algorithms. Computational Science – ICCS 2007, 4490, 2007, 037-1044. Springer Berlin/Heidelberg Publisher. 17 Genetic Algorithms and Other Approaches in Image Feature Extraction and Representation Additiia Bazin, P. , & Pham, D. L. (2007). Topology Correction of Segmented Medical Images Using a Algorithm. In Computer Methods Prog. , Vol 88, Issue 2 (pp. 182-190).

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Artificial intelligence for maximizing content based image retrieval by Zongmin Ma

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