计算机应用与软件
計算機應用與軟件
계산궤응용여연건
COMPUTER APPLICATIONS AND SOFTWARE
2014年
5期
197-201
,共5页
图像%基于内容图像检索%情感语义%情感图像库
圖像%基于內容圖像檢索%情感語義%情感圖像庫
도상%기우내용도상검색%정감어의%정감도상고
Image%Content-based image retrieval%Affective semantics%Affective image database
基于内容的图像检索是使用图像的底层视觉特征对图像进行检索，使检索结果在视觉角度上尽可能相似。但能否通过图像的底层特征来准确体现人对图像的视觉感知（即图像的情感语义）有待于进一步的探索。首先构建检索性能较好的基于内容的图像检索系统，并针对分类标准不同的两类图像库进行多次实验。实验证明，图像的情感语义无法通过单一的图像底层特征描述。
基于內容的圖像檢索是使用圖像的底層視覺特徵對圖像進行檢索，使檢索結果在視覺角度上儘可能相似。但能否通過圖像的底層特徵來準確體現人對圖像的視覺感知（即圖像的情感語義）有待于進一步的探索。首先構建檢索性能較好的基于內容的圖像檢索繫統，併針對分類標準不同的兩類圖像庫進行多次實驗。實驗證明，圖像的情感語義無法通過單一的圖像底層特徵描述。
기우내용적도상검색시사용도상적저층시각특정대도상진행검색，사검색결과재시각각도상진가능상사。단능부통과도상적저층특정래준학체현인대도상적시각감지（즉도상적정감어의）유대우진일보적탐색。수선구건검색성능교호적기우내용적도상검색계통，병침대분류표준불동적량류도상고진행다차실험。실험증명，도상적정감어의무법통과단일적도상저층특정묘술。
Content-based image retrieval means retrieving images by image low level visual features so that the retrieved results are as simi-lar as possible from the visual perspective.However it requires further exploration whether image low lever features can accurately represent visual perception,or image affective semantics,of human upon image.The paper first of all constructs content-based image retrieval system with better retrieval performance;next it carries out a number of experiments upon two image databases that are classified by different criteria. Experiments prove that image affective semantics can't be described by single image low layer features.
