{"title":"在线视频特征标签提取","authors":"Fudong Sun, Minyong Shi, Weiguo Lin","doi":"10.1109/ICCSEE.2012.234","DOIUrl":null,"url":null,"abstract":"This paper proposes online video feature label extraction method during the time when they were retrieved from the Internet. This method is used in an online video retrieving system to extract feature labels of a video clip automatically. By collecting attributes of videos, basic features are produced, and then capture the key frames of video. Create label templates, analyze and extract other features by matching the image analysis result in the template library to decide the feature labels of the online video clips.","PeriodicalId":132465,"journal":{"name":"2012 International Conference on Computer Science and Electronics Engineering","volume":"358 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Feature Label Extraction of Online Video\",\"authors\":\"Fudong Sun, Minyong Shi, Weiguo Lin\",\"doi\":\"10.1109/ICCSEE.2012.234\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes online video feature label extraction method during the time when they were retrieved from the Internet. This method is used in an online video retrieving system to extract feature labels of a video clip automatically. By collecting attributes of videos, basic features are produced, and then capture the key frames of video. Create label templates, analyze and extract other features by matching the image analysis result in the template library to decide the feature labels of the online video clips.\",\"PeriodicalId\":132465,\"journal\":{\"name\":\"2012 International Conference on Computer Science and Electronics Engineering\",\"volume\":\"358 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-03-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Computer Science and Electronics Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSEE.2012.234\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Computer Science and Electronics Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSEE.2012.234","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper proposes online video feature label extraction method during the time when they were retrieved from the Internet. This method is used in an online video retrieving system to extract feature labels of a video clip automatically. By collecting attributes of videos, basic features are produced, and then capture the key frames of video. Create label templates, analyze and extract other features by matching the image analysis result in the template library to decide the feature labels of the online video clips.
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