SIMILARITY MEASURES FOR IMAGE RETRIEVAL BASED ON SEGMENTED REGIONS(International Workshop on Advanced Image Technology 2007)

概要

論文の詳細を見る
This paper proposes new similarity measures to retrieve images with segmented regions similar to those of a query image. The proposed similarity measures are based on the Jaccard coefficient which measures a similarity between two sets. In order to evaluate the performance of the proposed similarity measures, we experimented on 1,000 region images which were made by segmenting natural images. The performance was evaluated by the recall ratio and the ratio of the number of retrieved images necessary to obtain all the images in the query group to the number of the images in the group. The results indicate that the proposed similarity measures are effective for image retrieval based on segmented regions. And we also experimented on 10,000 natural images in order to show that the proposed similarity measures are effective for retrieving images which are similar in view to a query image.
社団法人電子情報通信学会の論文
2007-01-02