{"title":"Semi-automatic Video Assessment System","authors":"Pedro Martins, N. Correia","doi":"10.1145/3095713.3095748","DOIUrl":null,"url":null,"abstract":"This paper describes a system for semi-automatic quality assessment of user generated content (UGC) from large events. It uses image and video processing techniques1 combined with a computational quality model that takes in account aesthetics and how human visual perception and attention mechanisms discriminate visual interest. We describe the approach and show that the developed system allows to sort and filter a large stream of UGC in an efficient and timely manner.","PeriodicalId":310224,"journal":{"name":"Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3095713.3095748","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This paper describes a system for semi-automatic quality assessment of user generated content (UGC) from large events. It uses image and video processing techniques1 combined with a computational quality model that takes in account aesthetics and how human visual perception and attention mechanisms discriminate visual interest. We describe the approach and show that the developed system allows to sort and filter a large stream of UGC in an efficient and timely manner.
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