Compositional object pattern: A new model for album event recognition

Shen Fu Tsai, Liangliang Cao, Feng Tang, Thomas S. Huang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

17 引文 斯高帕斯(Scopus)

摘要

In this paper, we study the problem of recognizing events in personal photo albums. In consumer photo collections or online photo communities, photos are usually organized in albums according to their events. However, interpreting photo albums is more complicated than the traditional problem of understanding single photos, because albums generally exhibit much more varieties than single image. To solve this challenge, we propose a novel representation, called Compositional Object Pattern, which characterizes object level pattern conveying much richer semantic than low level visual feature. To interpret the rich semantics in albums, we mine frequent object patterns in the training set, and then rank them by their discriminating power. The album feature is then set as the frequencies of these frequent and discriminative patterns, called Compositional Object Pattern Frequency( COPF). We show with experimental result that our algorithm is capable of recognizing holidays with accuracy higher than the baseline method.

原文???core.languages.en_GB???
主出版物標題MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops
頁面1361-1364
頁數4
DOIs
出版狀態已出版 - 2011
事件19th ACM International Conference on Multimedia ACM Multimedia 2011, MM'11 - Scottsdale, AZ, United States
持續時間: 28 11月 20111 12月 2011

出版系列

名字MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops

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???event.eventtypes.event.conference???19th ACM International Conference on Multimedia ACM Multimedia 2011, MM'11
國家/地區United States
城市Scottsdale, AZ
期間28/11/111/12/11

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