{"title":"多摄像机无线监控网络的内容自适应编码和延迟感知速率控制","authors":"Xiaoqing Zhu, Eric Setton, B. Girod","doi":"10.1109/MMSP.2005.248581","DOIUrl":null,"url":null,"abstract":"One of the challenges in supporting multiple video streams over a small wireless network is appropriate rate control at each video source. Two rate adaptation approaches are proposed in this paper, to meet both quality and latency requirements while achieving overall efficiency. Encoding frame rate is adapted according to the importance of the video contents; quantization parameter for each frame is dynamically adjusted based on complexity of the current frame and past observations of end-to-end delay. Simulation results for a multi-camera surveillance application show the effectiveness of the proposed network-adaptive rate control in a live coding and streaming scenario. Compared to conventional methods combining TCP-friend rate control (TFRC) at the transport layer and video encoder rate control at the application layer, the proposed scheme improves the average PSNR of received video by 0.3-3.5 dB while also achieving less fluctuation in the video quality","PeriodicalId":191719,"journal":{"name":"2005 IEEE 7th Workshop on Multimedia Signal Processing","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Content-Adaptive Coding and Delay-Aware Rate Control for a Multi-Camera Wireless Surveillance Network\",\"authors\":\"Xiaoqing Zhu, Eric Setton, B. Girod\",\"doi\":\"10.1109/MMSP.2005.248581\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One of the challenges in supporting multiple video streams over a small wireless network is appropriate rate control at each video source. Two rate adaptation approaches are proposed in this paper, to meet both quality and latency requirements while achieving overall efficiency. Encoding frame rate is adapted according to the importance of the video contents; quantization parameter for each frame is dynamically adjusted based on complexity of the current frame and past observations of end-to-end delay. Simulation results for a multi-camera surveillance application show the effectiveness of the proposed network-adaptive rate control in a live coding and streaming scenario. Compared to conventional methods combining TCP-friend rate control (TFRC) at the transport layer and video encoder rate control at the application layer, the proposed scheme improves the average PSNR of received video by 0.3-3.5 dB while also achieving less fluctuation in the video quality\",\"PeriodicalId\":191719,\"journal\":{\"name\":\"2005 IEEE 7th Workshop on Multimedia Signal Processing\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2005 IEEE 7th Workshop on Multimedia Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MMSP.2005.248581\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 IEEE 7th Workshop on Multimedia Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMSP.2005.248581","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Content-Adaptive Coding and Delay-Aware Rate Control for a Multi-Camera Wireless Surveillance Network
One of the challenges in supporting multiple video streams over a small wireless network is appropriate rate control at each video source. Two rate adaptation approaches are proposed in this paper, to meet both quality and latency requirements while achieving overall efficiency. Encoding frame rate is adapted according to the importance of the video contents; quantization parameter for each frame is dynamically adjusted based on complexity of the current frame and past observations of end-to-end delay. Simulation results for a multi-camera surveillance application show the effectiveness of the proposed network-adaptive rate control in a live coding and streaming scenario. Compared to conventional methods combining TCP-friend rate control (TFRC) at the transport layer and video encoder rate control at the application layer, the proposed scheme improves the average PSNR of received video by 0.3-3.5 dB while also achieving less fluctuation in the video quality