/ プログラム/ 発表一覧/ 著者一覧/ 企業展示一覧/ jsai2012ホーム /

4M1-IOS-3c-3 Proposal of Situation-based Clustering of Sightseeing Spot Images based on ROI-based Color Feature Extraction

*セッションの無断動画配信はご遠慮下さい。

Tweet #jsai2012 このエントリーをはてなブックマークに追加

06月15日(Fri) 09:00〜12:20 M会場(-山口県自治会館/大会議室(80))
4M1-IOS-3c International Organized Session「Special Session on Web Intelligence & Data Mining (3)」

演題番号4M1-IOS-3c-3
題目Proposal of Situation-based Clustering of Sightseeing Spot Images based on ROI-based Color Feature Extraction
著者陳 家煌(Graduate School of System Design, Tokyo Metropolitan University, Japan)
Lieu-Hen Chen(National Chi Nan University)
Yasufumi Takama(Graduate School of System Design, Tokyo Metropolitan University, Japan)
時間06月15日(Fri) 10:30〜11:00
概要As the amount of photos shared on album websites grows up rapidly, the meaningful grouping of these images becomes important. In particular, sightseeing spot images in different situations, such as weather conditions and seasons, are useful for tourists to decide when to visit there. This paper proposes a method to group sightseeing spot images into several different situations by a hierarchical processing based on color feature on the designed region (ROI, region of interest) and K-means clustering. At the first stage, night view images are discriminated from daytime images. Then the daytime images are divided into sunrise/sunset and other images at second stage. Finally, the cloudy images are separated from shine images in others images generated at second stage. Experimental results show that the extraction of color feature within ROI is effective for obtaining clusters with high precision and recall.
論文PDFファイル