{"title":"Image quality assessment-oriented frame capture of video phone over 3G system","authors":"Chao Feng, Lianfeng Huang, Jianan Lin, Jinjin Li","doi":"10.1109/ICASID.2010.5551359","DOIUrl":null,"url":null,"abstract":"Image quality assessment plays an important role to the 3G network QoE/QoS planners. A great deal of effort has been made in recent years to develop objective image quality metrics that correlate with perceived quality measurement. Unfortunately, there is a lack of non-simulation image material to optimize the algorithms and the parameter settings. In this paper, we suggest a method to capture the frame of video phone on Dtivy™ A2000+H platform. With these frames, the objective image quality assessment algorithms could be improved so that they are used more targeted.","PeriodicalId":391931,"journal":{"name":"2010 International Conference on Anti-Counterfeiting, Security and Identification","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Anti-Counterfeiting, Security and Identification","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASID.2010.5551359","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
Image quality assessment plays an important role to the 3G network QoE/QoS planners. A great deal of effort has been made in recent years to develop objective image quality metrics that correlate with perceived quality measurement. Unfortunately, there is a lack of non-simulation image material to optimize the algorithms and the parameter settings. In this paper, we suggest a method to capture the frame of video phone on Dtivy™ A2000+H platform. With these frames, the objective image quality assessment algorithms could be improved so that they are used more targeted.