{"title":"MPEG-7 in action: end user experiences with COSMOS-7 front end systems","authors":"H. Agius, M. Angelides","doi":"10.1145/1141277.1141591","DOIUrl":null,"url":null,"abstract":"MPEG-7 has become a key standard to multimedia research in searching, filtering and retrieval. Understanding experiences of users when using MPEG-7-based tools is necessary if we are to improve how MPEG-7 metadata is applied in practice. COSMOS-7 enables structured modeling and filtering of MPEG-7-compliant metadata for digital video. We describe two COSMOS-7 front end systems: COSMOSIS, for modeling digital video metadata, and the Filtering Manager, for filtering digital video metadata. We then present an empirical evaluation of these front end systems undertaken with a sample set of end users from a London, UK, theater company. Our results reveal that end users progress through a number of key stages when modeling and filtering video content.","PeriodicalId":269830,"journal":{"name":"Proceedings of the 2006 ACM symposium on Applied computing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2006-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2006 ACM symposium on Applied computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1141277.1141591","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
MPEG-7 has become a key standard to multimedia research in searching, filtering and retrieval. Understanding experiences of users when using MPEG-7-based tools is necessary if we are to improve how MPEG-7 metadata is applied in practice. COSMOS-7 enables structured modeling and filtering of MPEG-7-compliant metadata for digital video. We describe two COSMOS-7 front end systems: COSMOSIS, for modeling digital video metadata, and the Filtering Manager, for filtering digital video metadata. We then present an empirical evaluation of these front end systems undertaken with a sample set of end users from a London, UK, theater company. Our results reveal that end users progress through a number of key stages when modeling and filtering video content.