{"title":"自动识别音像文件的类型","authors":"M. Fourati, A. Jedidi, F. Gargouri","doi":"10.1109/AICCSA.2014.7073235","DOIUrl":null,"url":null,"abstract":"Identifying the Genre of an audiovisual document is among the major challenges for multimedia retrieval. Indeed, the lack of semantic metadata extraction makes these resources underused in the retrieval process. To overcome these difficulties, the extraction of semantic descriptions requires an analysis of the audiovisual document's content. The automation of the process of describing audiovisual documents is essential because of the richness and the diversity of the available analytical criteria. In this paper, we present a method that allows the identification of a semantic and automatic description from the content such as genre. We chose to describe the cinematic audiovisual documents based on the documentation prepared in the pre-production phase of films, namely synopsis. The experimental result on Imdb (Internet Movie Database) and the Wikipedia encyclopedia indicate that our method of genre detection is better than the result of these corpuses.","PeriodicalId":412749,"journal":{"name":"2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Automatic identification Genre of audiovisual documents\",\"authors\":\"M. Fourati, A. Jedidi, F. Gargouri\",\"doi\":\"10.1109/AICCSA.2014.7073235\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Identifying the Genre of an audiovisual document is among the major challenges for multimedia retrieval. Indeed, the lack of semantic metadata extraction makes these resources underused in the retrieval process. To overcome these difficulties, the extraction of semantic descriptions requires an analysis of the audiovisual document's content. The automation of the process of describing audiovisual documents is essential because of the richness and the diversity of the available analytical criteria. In this paper, we present a method that allows the identification of a semantic and automatic description from the content such as genre. We chose to describe the cinematic audiovisual documents based on the documentation prepared in the pre-production phase of films, namely synopsis. The experimental result on Imdb (Internet Movie Database) and the Wikipedia encyclopedia indicate that our method of genre detection is better than the result of these corpuses.\",\"PeriodicalId\":412749,\"journal\":{\"name\":\"2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AICCSA.2014.7073235\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AICCSA.2014.7073235","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
摘要
识别视听文件的类型是多媒体检索的主要挑战之一。实际上,缺乏语义元数据提取使得这些资源在检索过程中未得到充分利用。为了克服这些困难,语义描述的提取需要对音像文档的内容进行分析。由于现有分析标准的丰富性和多样性,描述视听文件过程的自动化是必不可少的。在本文中,我们提出了一种方法,可以从内容(如体裁)中识别语义和自动描述。我们选择基于电影前期制作阶段准备的文件,即剧情梗概来描述电影视听文件。在Imdb (Internet Movie Database)和Wikipedia百科全书上的实验结果表明,我们的类型检测方法比这些语料库的结果要好。
Automatic identification Genre of audiovisual documents
Identifying the Genre of an audiovisual document is among the major challenges for multimedia retrieval. Indeed, the lack of semantic metadata extraction makes these resources underused in the retrieval process. To overcome these difficulties, the extraction of semantic descriptions requires an analysis of the audiovisual document's content. The automation of the process of describing audiovisual documents is essential because of the richness and the diversity of the available analytical criteria. In this paper, we present a method that allows the identification of a semantic and automatic description from the content such as genre. We chose to describe the cinematic audiovisual documents based on the documentation prepared in the pre-production phase of films, namely synopsis. The experimental result on Imdb (Internet Movie Database) and the Wikipedia encyclopedia indicate that our method of genre detection is better than the result of these corpuses.