基于内容的模糊信息检索——图像检索综述

2021 International Conference on Innovative Practices in Technology and Management (ICIPTM) Pub Date : 2021-02-17 DOI:10.1109/iciptm52218.2021.9388348

S. Bajpai, D. Sharma

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引用次数: 0

摘要

由于网络上视觉数据集的过度增加，导致无法基于排序和不一致性来搜索图像的模糊性。基于内容的模糊信息检索可以通过视觉识别和忽略噪声来获得更好的结果。相似图像和附加标签之间的语义差距导致了当今世界所遇到的挑战。本文对所提出的算法进行了量化和评价。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Retrieving images through Content Based Fuzzy Information Retrieval-A Survey

Due to the excessive increase in visual data set on the web it has led to the fuzziness of not able to search mage based on ranking and inconsistency. The Content Based Fuzzy Information Retrieval has led to the sustainability of achieving better results through visual identification and neglecting noise. The semantic gap between similar images and tags attached to it has led to challenges that are encountered in the present world. The proposed algorithm to quantify and evaluate algorithm are studied and surveyed in this paper.

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2021 International Conference on Innovative Practices in Technology and Management (ICIPTM)

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