A novel mapping method for image semantics and visual features

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A novel mapping method for image semantics and visual features

Received:2008-04-25 Revised:1900-01-01 Online:2008-10-01 Published:2008-10-01
Contact: YANG Jun

一种新的图像语义与视觉特征的映射方法

杨珺王继成邢丹俊

上海电力学院计算机与信息工程学院同济大学计算机系

通讯作者: 杨珺

Abstract

Abstract: Establishing a mapping relationship between image visual features and semantics can be used to reduce "semantic gap". A novel mapping method for image semantics and visual features was presented. In this method, image semantic information could be captured by adding users relevance feedback, and then a decision table of visual features and semantics was constructed. Knowledge reduction of rough set theory was used to reduce the redundant visual features according to semantics, by doing that a mapping relationship between image visual features and its semantics was established. The experimental results indicate that amount of visual features irrelevant to image semantics can be reduced greatly, the complexity and cost of semantic classification are reduced and the accuracy of classification is better.

Key words: image retrieval, feature extraction, rough sets, relevance feedback

摘要： 建立低层视觉特征与高层语义的映射关系能够很好地解决图像检索中的“语义鸿沟”问题。提出一种图像视觉特征与高层语义的映射方法。该方法通过用户的相关反馈来获得图像的语义信息，构造图像特征-语义决策表并结合粗糙集中的知识约简删除了与语义无关的冗余特征,实现了高层语义与底层视觉特征的映射。实验结果表明该方法能够显著减少与语义无关的视觉特征数量，降低分类的复杂性和计算代价，具有较好的分类准确率。

关键词: 图像检索, 特征提取, 粗糙集, 相关反馈

YANG Jun JiCheng WANG danjun XING. A novel mapping method for image semantics and visual features[J]. Journal of Computer Applications.

杨珺王继成邢丹俊. 一种新的图像语义与视觉特征的映射方法[J]. 计算机应用.

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