Relevance Feedback Based on Feature Discreteness for Image Content Retrieval

碩士 === 國立臺南大學 === 數位學習科技學系碩士班 === 97 === We propose a new relevance feedback approach to achieving high system accuracy for image content retrieval and high flexibility in selecting features of interest. Our system is divided into two major phases, namely index map construction and query comparison....

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Bibliographic Details
Main Authors: Ya-ting Gu, 辜雅婷
Other Authors: Hsin-Chih Lin
Format: Others
Language:zh-TW
Online Access:http://ndltd.ncl.edu.tw/handle/98308150758227987982

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