{"title":"MSoS: A Multi-Screen-Oriented Web Page Segmentation Approach","authors":"Mira Sarkis, C. Concolato, Jean-Claude Dufourd","doi":"10.1145/2682571.2797090","DOIUrl":null,"url":null,"abstract":"In this paper we describe a multiscreen-oriented approach for segmenting web pages. The segmentation is an automatic and hybrid visual and structural method. It aims at creating coherent blocks which have different functions determined by the multiscreen environment. It is also characterized by a dynamic adaptation to the page content.Experiments are conducted on a set of existing applications that contain multimedia elements, in particular YouTube and video player pages. Results are compared with one segmentation method from the literature and with a ground truth manually created. With a 81% precision, the MSoS is a promising method that is capable of producing good segmentation results.","PeriodicalId":106339,"journal":{"name":"Proceedings of the 2015 ACM Symposium on Document Engineering","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2015 ACM Symposium on Document Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2682571.2797090","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
In this paper we describe a multiscreen-oriented approach for segmenting web pages. The segmentation is an automatic and hybrid visual and structural method. It aims at creating coherent blocks which have different functions determined by the multiscreen environment. It is also characterized by a dynamic adaptation to the page content.Experiments are conducted on a set of existing applications that contain multimedia elements, in particular YouTube and video player pages. Results are compared with one segmentation method from the literature and with a ground truth manually created. With a 81% precision, the MSoS is a promising method that is capable of producing good segmentation results.
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