Irene Mateos-Cañas, S. Sendra, Jaime Lloret, J. M. Jiménez
{"title":"Autonomous video compression system for environmental monitoring","authors":"Irene Mateos-Cañas, S. Sendra, Jaime Lloret, J. M. Jiménez","doi":"10.5296/NPA.V9I1-2.12386","DOIUrl":null,"url":null,"abstract":"Throughout the present work, series of exhaustive studies are realized with the purpose of determine which is the most suitable video compression codec for transmitting video recorded in a natural environment where a colour is predominant above the rest. This has been done starting from scratch by analyzing a video for obtaining its RGB level. After that, a study about the network parameters resulted from the fact of having the transcoded video stored in a server waiting for a RTP client request has been realized. Lately, a decision algorithm has been designed and it establishes, according to the results obtained in the previous researches, the most suitable video compression codec. Finally, a Python program has been implemented. It automatizes the process of video recording, RGB predominant level calculation and, depending on the previous results, transcoding for obtaining the final transcoded video file.","PeriodicalId":190994,"journal":{"name":"Netw. Protoc. Algorithms","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Netw. Protoc. Algorithms","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5296/NPA.V9I1-2.12386","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Throughout the present work, series of exhaustive studies are realized with the purpose of determine which is the most suitable video compression codec for transmitting video recorded in a natural environment where a colour is predominant above the rest. This has been done starting from scratch by analyzing a video for obtaining its RGB level. After that, a study about the network parameters resulted from the fact of having the transcoded video stored in a server waiting for a RTP client request has been realized. Lately, a decision algorithm has been designed and it establishes, according to the results obtained in the previous researches, the most suitable video compression codec. Finally, a Python program has been implemented. It automatizes the process of video recording, RGB predominant level calculation and, depending on the previous results, transcoding for obtaining the final transcoded video file.