Nesrine Ksentini, Mohamed Zarka, A. Ammar, A. Alimi
{"title":"Toward an assisted context based collaborative annotation","authors":"Nesrine Ksentini, Mohamed Zarka, A. Ammar, A. Alimi","doi":"10.1109/CBMI.2012.6269852","DOIUrl":null,"url":null,"abstract":"This paper introduces a novel approach of video annotation by the use of context-based assistance for the annotator. The notion of context plays, actually, a significant role in the multimedia content search and retrieval systems. In fact, a semantic interpretation (or concept) separated from its context produces incomplete information. Moreover, each concept interpretation varies according to different contexts. The assistance that we introduce uses intelligent structures such as context ontology and previous annotation. The evaluation of the proposed assisted annotation prototype has led to promising results by the use of context in the annotation process.","PeriodicalId":120769,"journal":{"name":"2012 10th International Workshop on Content-Based Multimedia Indexing (CBMI)","volume":"200 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 10th International Workshop on Content-Based Multimedia Indexing (CBMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CBMI.2012.6269852","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 introduces a novel approach of video annotation by the use of context-based assistance for the annotator. The notion of context plays, actually, a significant role in the multimedia content search and retrieval systems. In fact, a semantic interpretation (or concept) separated from its context produces incomplete information. Moreover, each concept interpretation varies according to different contexts. The assistance that we introduce uses intelligent structures such as context ontology and previous annotation. The evaluation of the proposed assisted annotation prototype has led to promising results by the use of context in the annotation process.