{"title":"基于兴趣区域的低比特率监控视频编码策略","authors":"Ahcen Aliouat, N. Kouadria, M. Maimour, S. Harize","doi":"10.1109/SSD54932.2022.9955963","DOIUrl":null,"url":null,"abstract":"In this work, we propose a fast and efficient Region-of-Interest based video coding strategy for surveillance systems involving low bitrate. The proposed algorithm is based on a combination of three major techniques, namely, edge detection, frame differencing and sum of absolute differences. We improve the algorithm accuracy through the use of morphological operations. A thresholding is performed to classify the frame blocks into moving and non-moving blocks. This allows to compress and sent to the destination only moving blocks in an object-based video coding scenario. The obtained results prove the efficiency of our proposal in terms of accurate detection, data reduction and bitrate saving.","PeriodicalId":253898,"journal":{"name":"2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Region-of-Interest based Video Coding Strategy for Low Bitrate Surveillance Systems\",\"authors\":\"Ahcen Aliouat, N. Kouadria, M. Maimour, S. Harize\",\"doi\":\"10.1109/SSD54932.2022.9955963\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work, we propose a fast and efficient Region-of-Interest based video coding strategy for surveillance systems involving low bitrate. The proposed algorithm is based on a combination of three major techniques, namely, edge detection, frame differencing and sum of absolute differences. We improve the algorithm accuracy through the use of morphological operations. A thresholding is performed to classify the frame blocks into moving and non-moving blocks. This allows to compress and sent to the destination only moving blocks in an object-based video coding scenario. The obtained results prove the efficiency of our proposal in terms of accurate detection, data reduction and bitrate saving.\",\"PeriodicalId\":253898,\"journal\":{\"name\":\"2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSD54932.2022.9955963\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSD54932.2022.9955963","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Region-of-Interest based Video Coding Strategy for Low Bitrate Surveillance Systems
In this work, we propose a fast and efficient Region-of-Interest based video coding strategy for surveillance systems involving low bitrate. The proposed algorithm is based on a combination of three major techniques, namely, edge detection, frame differencing and sum of absolute differences. We improve the algorithm accuracy through the use of morphological operations. A thresholding is performed to classify the frame blocks into moving and non-moving blocks. This allows to compress and sent to the destination only moving blocks in an object-based video coding scenario. The obtained results prove the efficiency of our proposal in terms of accurate detection, data reduction and bitrate saving.