Boris Mansencal, J. Benois-Pineau, Rémi Vieux, J. Domenger
{"title":"Search of objects of interest in videos","authors":"Boris Mansencal, J. Benois-Pineau, Rémi Vieux, J. Domenger","doi":"10.1109/CBMI.2012.6269809","DOIUrl":null,"url":null,"abstract":"The paper addresses the problem of object search in video content. Both Query-By-Example paradigm and context search are explored. In QBE paradigm the object of interest is searched by matching of object signatures built from SURF descriptors with on-the-fly computed signatures in frames. The ”context” search is understood as a query on the whole frame with features extracted after a region-based segmentation. Both kinds of features are transcribed in Bag-Of-Words framework. The combination of Bag-of-Visual-Words and Bag-of-Region-Words gives promising results in TRECVID'2011 Instance Search Task.","PeriodicalId":120769,"journal":{"name":"2012 10th International Workshop on Content-Based Multimedia Indexing (CBMI)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","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.2012.6269809","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
The paper addresses the problem of object search in video content. Both Query-By-Example paradigm and context search are explored. In QBE paradigm the object of interest is searched by matching of object signatures built from SURF descriptors with on-the-fly computed signatures in frames. The ”context” search is understood as a query on the whole frame with features extracted after a region-based segmentation. Both kinds of features are transcribed in Bag-Of-Words framework. The combination of Bag-of-Visual-Words and Bag-of-Region-Words gives promising results in TRECVID'2011 Instance Search Task.