Content aware image retrieval with partition-based color features
IJCNN(2010)
摘要
In this paper, we present a content aware approach to image retrieval with partitioned color features only. Given a query image, the proposed approach consists of four stages. First, partition the query image into sub-images. Second, calculate the mean of each component in the partitioned sub-images as the color features. Third, find weights for R-, G-, B-component based on their energies for similarity evaluation. Forth, retrieve images in database by a weighted similarity measure. Though the approach is simple, it is effective in image retrieval even with only partitioned color features. The simulation result for the given database indicates that the overall average precision of ten retrieved images is as high as 0.86. Thus the proposed approach can be used in the applications where light computation is sought.
更多查看译文
关键词
partition-based color features,content aware image retrieval,image retrieval,weighted similarity measure,content-based retrieval,image colour analysis,feature extraction,histograms,computer science
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络