{"title":"Storage optimization of video surveillance from CCTV camera","authors":"Shikhar Arora, Karan Bhatia, V. Amit","doi":"10.1109/NGCT.2016.7877503","DOIUrl":null,"url":null,"abstract":"Closed-circuit television (CCTV) or video surveillance is the most useful technology mostly used in the field of security purposes. CCTVs can be found at many places ranging from public to private places. One of the most challenging problem in installing the CCTV cameras at large scale is storage space occupied by the footage. Footage is mostly stored in secondary storage devices like hard disk drives. So, to reduce the storage space, compression techniques are applied. The proposed idea is to remove the adjacent redundant frames. We are proposing a method to optimize the storage space occupied by the CCTV footage by deleting the redundant frames by comparing the adjacent frames using MSE (Mean Squared Error) between the adjacent frames of the video clip. The approach will optimize the storage maintaining the information as well as quality of the video clip.","PeriodicalId":326018,"journal":{"name":"2016 2nd International Conference on Next Generation Computing Technologies (NGCT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 2nd International Conference on Next Generation Computing Technologies (NGCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NGCT.2016.7877503","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
Closed-circuit television (CCTV) or video surveillance is the most useful technology mostly used in the field of security purposes. CCTVs can be found at many places ranging from public to private places. One of the most challenging problem in installing the CCTV cameras at large scale is storage space occupied by the footage. Footage is mostly stored in secondary storage devices like hard disk drives. So, to reduce the storage space, compression techniques are applied. The proposed idea is to remove the adjacent redundant frames. We are proposing a method to optimize the storage space occupied by the CCTV footage by deleting the redundant frames by comparing the adjacent frames using MSE (Mean Squared Error) between the adjacent frames of the video clip. The approach will optimize the storage maintaining the information as well as quality of the video clip.