Krishnan Ramanathan, Y. Sankarasubramaniam, Vidhya Govindaraju
{"title":"Personalized video: leanback online video consumption","authors":"Krishnan Ramanathan, Y. Sankarasubramaniam, Vidhya Govindaraju","doi":"10.1145/2009916.2010158","DOIUrl":null,"url":null,"abstract":"Current user interfaces for online video consumption are mostly browser based, lean forward, require constant interaction and provide a fragmented view of the total content available. For easier consumption, the user interface and interactions need to be redesigned for less interruptive and lean back experience. In this paper, we describe Personalized Video, an application that converts the online video experience into a personalized lean back experience. It has been implemented on the Windows platform and integrated with intuitive user interactions like gesture and face recognition. It also supports group personalization for concurrent users.","PeriodicalId":356580,"journal":{"name":"Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2009916.2010158","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Current user interfaces for online video consumption are mostly browser based, lean forward, require constant interaction and provide a fragmented view of the total content available. For easier consumption, the user interface and interactions need to be redesigned for less interruptive and lean back experience. In this paper, we describe Personalized Video, an application that converts the online video experience into a personalized lean back experience. It has been implemented on the Windows platform and integrated with intuitive user interactions like gesture and face recognition. It also supports group personalization for concurrent users.