{"title":"流媒体视频中丢包块的在线插值方法","authors":"Rumana Aktar, K. Palaniappan, J. Uhlmann","doi":"10.1109/AIPR47015.2019.9174590","DOIUrl":null,"url":null,"abstract":"In this paper we examine and apply a linear-time matrix transformation for online interpolation of missing data blocks in frames of a streaming video sequence. We show that the resulting algorithm produces interpolated pixels that are sufficiently consistent within the context of a single frame that the missing block/tile is typically unnoticed by a viewer of the video sequence. Given the strenuous time constraints imposed by streaming video, this is essentially the only standard of performance that can be applied.","PeriodicalId":167075,"journal":{"name":"2019 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A Method for Online Interpolation of Packet-Loss Blocks in Streaming Video\",\"authors\":\"Rumana Aktar, K. Palaniappan, J. Uhlmann\",\"doi\":\"10.1109/AIPR47015.2019.9174590\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we examine and apply a linear-time matrix transformation for online interpolation of missing data blocks in frames of a streaming video sequence. We show that the resulting algorithm produces interpolated pixels that are sufficiently consistent within the context of a single frame that the missing block/tile is typically unnoticed by a viewer of the video sequence. Given the strenuous time constraints imposed by streaming video, this is essentially the only standard of performance that can be applied.\",\"PeriodicalId\":167075,\"journal\":{\"name\":\"2019 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AIPR47015.2019.9174590\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIPR47015.2019.9174590","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Method for Online Interpolation of Packet-Loss Blocks in Streaming Video
In this paper we examine and apply a linear-time matrix transformation for online interpolation of missing data blocks in frames of a streaming video sequence. We show that the resulting algorithm produces interpolated pixels that are sufficiently consistent within the context of a single frame that the missing block/tile is typically unnoticed by a viewer of the video sequence. Given the strenuous time constraints imposed by streaming video, this is essentially the only standard of performance that can be applied.
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