{"title":"Lookapp:基于web的概念检测器的交互式构建","authors":"Damian Borth, A. Ulges, T. Breuel","doi":"10.1145/1991996.1992062","DOIUrl":null,"url":null,"abstract":"While online platforms like YouTube and Flickr do provide massive content for training of visual concept detectors, it remains a difficult challenge to retrieve the right training content from such platforms. In this technical demonstration we present lookapp, a system for the interactive construction of web-based concept detectors. It major features are an interactive \"concept-to-query\" mapping for training data acquisition and an efficient detector construction based on third party cloud computing services.","PeriodicalId":390933,"journal":{"name":"Proceedings of the 1st ACM International Conference on Multimedia Retrieval","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Lookapp: interactive construction of web-based concept detectors\",\"authors\":\"Damian Borth, A. Ulges, T. Breuel\",\"doi\":\"10.1145/1991996.1992062\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"While online platforms like YouTube and Flickr do provide massive content for training of visual concept detectors, it remains a difficult challenge to retrieve the right training content from such platforms. In this technical demonstration we present lookapp, a system for the interactive construction of web-based concept detectors. It major features are an interactive \\\"concept-to-query\\\" mapping for training data acquisition and an efficient detector construction based on third party cloud computing services.\",\"PeriodicalId\":390933,\"journal\":{\"name\":\"Proceedings of the 1st ACM International Conference on Multimedia Retrieval\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 1st ACM International Conference on Multimedia Retrieval\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1991996.1992062\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1st ACM International Conference on Multimedia Retrieval","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1991996.1992062","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Lookapp: interactive construction of web-based concept detectors
While online platforms like YouTube and Flickr do provide massive content for training of visual concept detectors, it remains a difficult challenge to retrieve the right training content from such platforms. In this technical demonstration we present lookapp, a system for the interactive construction of web-based concept detectors. It major features are an interactive "concept-to-query" mapping for training data acquisition and an efficient detector construction based on third party cloud computing services.
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