To solve the problem of overfull feedback during image retrieval based on semantic network, this paper proposes to convert semantic network into semantic matrix, and utilizes a voting mechanism based on multi-user relevance feedback to effectively overcome overfull feedback.
针对基于语义网络的图像检索中的过反馈问题,本文提出了将语义网络转换为语义矩阵,采用基于多用户相关反馈的投票机制,可有效地克服过反馈。
At the same time,through semantic matrix an d relevance feedback,image semantic extract and retrieval have been achieved.
该文通过对图像进行分块,提取各子块颜色直方图构建出各图像的主颜色信息,建立语义矩阵,完成了图像的提取,通过相关反馈完成了图像的检索。
