{"title":"Segmentation of moving object in video with camera in motion","authors":"Shubhangi L. Vaikole, S. Sawarkar","doi":"10.1109/ICNTE.2015.7029909","DOIUrl":null,"url":null,"abstract":"Emerging multimedia applications demands content-based video processing. Video has to be segmented into objects for content-based processing. A number of video object segmentation algorithms have been proposed such as semiautomatic and automatic. Semiautomatic methods adds burden to users and also not suitable for some applications. Automatic segmentation systems are still a challenge, although they are required by many applications. The proposed work aims at contributing to identify the gaps that are present in the current segmentation system and also to give the possible solutions to overcome those gaps so that the accurate and efficient video segmentation system can be developed.","PeriodicalId":186188,"journal":{"name":"2015 International Conference on Nascent Technologies in the Engineering Field (ICNTE)","volume":"307 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Nascent Technologies in the Engineering Field (ICNTE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNTE.2015.7029909","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Emerging multimedia applications demands content-based video processing. Video has to be segmented into objects for content-based processing. A number of video object segmentation algorithms have been proposed such as semiautomatic and automatic. Semiautomatic methods adds burden to users and also not suitable for some applications. Automatic segmentation systems are still a challenge, although they are required by many applications. The proposed work aims at contributing to identify the gaps that are present in the current segmentation system and also to give the possible solutions to overcome those gaps so that the accurate and efficient video segmentation system can be developed.