Elsayeda Youssif, M. Khedr, Shawki Shabaan, Nour El Din El Madany
{"title":"Adaptive rate control in object-based video coding using non-cooperative game theory","authors":"Elsayeda Youssif, M. Khedr, Shawki Shabaan, Nour El Din El Madany","doi":"10.1109/INNOVATIONS.2011.5893858","DOIUrl":null,"url":null,"abstract":"This paper introduces a rate distortion scheme that adaptively allocates bits for objects in a video. This scheme allocates bits to objects using non-cooperative game theory. Every object is considered as a player in game where each player fights for the bits that best represent its contents. Simulations of the proposed scheme show promising results. These results show that our system has maintained the buffer at the half of its capacity with efficient bit allocation and accuracy of nearly 99.5 %.","PeriodicalId":173102,"journal":{"name":"2011 International Conference on Innovations in Information Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Innovations in Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INNOVATIONS.2011.5893858","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper introduces a rate distortion scheme that adaptively allocates bits for objects in a video. This scheme allocates bits to objects using non-cooperative game theory. Every object is considered as a player in game where each player fights for the bits that best represent its contents. Simulations of the proposed scheme show promising results. These results show that our system has maintained the buffer at the half of its capacity with efficient bit allocation and accuracy of nearly 99.5 %.