{"_buckets": {"deposit": "986edfc1-b4c5-4d79-82f8-533f15770f46"}, "_deposit": {"id": "21685", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "21685"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:00021685"}, "item_10_alternative_title_19": {"attribute_name": "\u305d\u306e\u4ed6\u306e\u8a00\u8a9e\u306e\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_alternative_title": "A study on region-based matching for scene duplicate detection from news videos"}]}, "item_10_biblio_info_6": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2012-03", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "479", "bibliographicPageEnd": "80", "bibliographicPageStart": "75", "bibliographicVolumeNumber": "111", "bibliographic_titles": [{"bibliographic_title": "\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a. 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In this paper, we report a study on region-based matching for detecting scene duplicates from news videos. Scene duplicates are videos taking the same event from different perspectives. Recently, technology to deal with the large amount of news videos based on their contents is needed. Among them, we are focusing on the scene duplicate detection problem. The proposed method first segments a video into the background and the person region, and then each region is matched independently, and finally the results are integrated. In order to deal with the different perspectives, the regions are matched with the features that are robust against the different perspectives according to the nature of each region. To match the person regions, the proposed method uses the pattern non-uniformity of the feature points. Meanwhile, to match the background region, the proposed method uses the color histogram feature. We conducted scene duplicate detection experiments using actual news videos. 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