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19 December 2001 Feature element theory for image recognition and retrieval
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Proceedings Volume 4676, Storage and Retrieval for Media Databases 2002; (2001) https://doi.org/10.1117/12.451083
Event: Electronic Imaging, 2002, San Jose, California, United States
Abstract
Traditional systems of image retrieval work as black boxes. The concrete process and result data or coefficients are not the real care point. Thus it brings the problem: these systems cannot fulfill general semantic application. To overcome the problem we turn to psychology and neuroscience to study the cognition mechanism of human brain. Based on the analysis of experiments and evidences, a new hypothesis - element presence theory is proposed to explain the truth of the whole visual cognition. As its basic level that deals with low-level feature data from camera or retina, feature element theory is illustrated in details. Besides, the evaluation on feature elements is discussed and the illustration on feature element theory based image retrieval system is also given.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yin Xu and Yujin Zhang "Feature element theory for image recognition and retrieval", Proc. SPIE 4676, Storage and Retrieval for Media Databases 2002, (19 December 2001); https://doi.org/10.1117/12.451083
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