{"title":"ExploratoryVideoSearch: A Music Video Search System Based on Coordinate Terms and Diversification","authors":"Kosetsu Tsukuda, Masataka Goto","doi":"10.1109/ISM.2015.99","DOIUrl":null,"url":null,"abstract":"Many people search and watch music videos on video sharing websites. Although a vast variety of videos are uploaded, current search systems on video sharing websites allow users to search a limited range of music videos for an input query. Especially when a user does not have enough knowledge of a query, the problem gets worse because the user cannot customize the range by changing the query or adding some keywords to the original query. In this paper, we propose a music video search system, called ExploratoryVideoSearch, that is coordinate term aware and diversity aware. Our system focuses on artist name queries to search videos on YouTube and has two novel functions: (1) given an artist name query, the system shows a search result for the artist as well as those for its coordinate terms, and (2) the system diversifies search results for the query and its coordinate terms, and allows users to interactively change the diversity level. Coordinate terms are obtained by utilizing the Million Song Dataset and Wikipedia, while search results are diversified based on tags attached to YouTube music videos. ExploratoryVideoSearch enables users to search a wide variety of music videos without requiring deep knowledge about a query.","PeriodicalId":250353,"journal":{"name":"2015 IEEE International Symposium on Multimedia (ISM)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Symposium on Multimedia (ISM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISM.2015.99","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
Many people search and watch music videos on video sharing websites. Although a vast variety of videos are uploaded, current search systems on video sharing websites allow users to search a limited range of music videos for an input query. Especially when a user does not have enough knowledge of a query, the problem gets worse because the user cannot customize the range by changing the query or adding some keywords to the original query. In this paper, we propose a music video search system, called ExploratoryVideoSearch, that is coordinate term aware and diversity aware. Our system focuses on artist name queries to search videos on YouTube and has two novel functions: (1) given an artist name query, the system shows a search result for the artist as well as those for its coordinate terms, and (2) the system diversifies search results for the query and its coordinate terms, and allows users to interactively change the diversity level. Coordinate terms are obtained by utilizing the Million Song Dataset and Wikipedia, while search results are diversified based on tags attached to YouTube music videos. ExploratoryVideoSearch enables users to search a wide variety of music videos without requiring deep knowledge about a query.
许多人在视频分享网站上搜索和观看音乐视频。尽管上传的视频种类繁多,但目前视频分享网站上的搜索系统允许用户搜索有限范围的音乐视频以输入查询。特别是当用户对查询没有足够的了解时,问题会变得更糟,因为用户无法通过更改查询或向原始查询添加一些关键字来定制范围。本文提出了一个具有坐标词感知和多样性感知的音乐视频搜索系统ExploratoryVideoSearch。我们的系统以艺人姓名查询为重点,在YouTube上搜索视频,有两个新颖的功能:(1)给定艺人姓名查询,系统显示该艺人及其坐标项的搜索结果;(2)系统对该查询及其坐标项的搜索结果进行多样化,并允许用户交互更改多样化程度。坐标词是利用百万歌曲数据集(Million Song Dataset)和维基百科(Wikipedia)获得的,搜索结果是根据YouTube音乐视频附加的标签进行多样化的。ExploratoryVideoSearch使用户能够搜索各种各样的音乐视频,而不需要对查询有深入的了解。