The past two decades witnessed a broad-increase in web technology and on-line gaming.Enhancing the broadband confinements is viewed as one of the most significant variables that prompted new gaming technology.The imme...The past two decades witnessed a broad-increase in web technology and on-line gaming.Enhancing the broadband confinements is viewed as one of the most significant variables that prompted new gaming technology.The immense utilization of web applications and games additionally prompted growth in the handled devices and moving the limited gaming experience from user devices to online cloud servers.As internet capabilities are enhanced new ways of gaming are being used to improve the gaming experience.In cloud-based video gaming,game engines are hosted in cloud gaming data centers,and compressed gaming scenes are rendered to the players over the internet with updated controls.In such systems,the task of transferring games and video compression imposes huge computational complexity is required on cloud servers.The basic problems in cloud gaming in particular are high encoding time,latency,and low frame rates which require a new methodology for a better solution.To improve the bandwidth issue in cloud games,the compression of video sequences requires an alternative mechanism to improve gaming adaption without input delay.In this paper,the proposed improved methodology is used for automatic unnecessary scene detection,scene removing and bit rate reduction using an adaptive algorithm for object detection in a game scene.As a result,simulations showed without much impact on the players’quality experience,the selective object encoding method and object adaption technique decrease the network latency issue,reduce the game streaming bitrate at a remarkable scale on different games.The proposed algorithm was evaluated for three video game scenes.In this paper,achieved 14.6%decrease in encoding and 45.6%decrease in bit rate for the first video game scene.展开更多
4K超高清技术在广播电视领域的快速发展对电视转播车传输系统提出了挑战。对此,提出基于高效率视频编码(High Efficiency Video Coding,HEVC)(又称H.265)编码标准的自适应码率调整算法,结合4G/5G与卫星链路的多路径聚合传输技术,介绍预...4K超高清技术在广播电视领域的快速发展对电视转播车传输系统提出了挑战。对此,提出基于高效率视频编码(High Efficiency Video Coding,HEVC)(又称H.265)编码标准的自适应码率调整算法,结合4G/5G与卫星链路的多路径聚合传输技术,介绍预测性智能缓存管理策略。实验结果表明,所提技术方案在网络带宽波动30%的条件下,能够维持4K信号传输的连续性,端到端延迟控制在200 ms以内,传输成功率在99.5%以上,有效解决了电视转播车高码率4K节目流的稳定传输问题。展开更多
文摘The past two decades witnessed a broad-increase in web technology and on-line gaming.Enhancing the broadband confinements is viewed as one of the most significant variables that prompted new gaming technology.The immense utilization of web applications and games additionally prompted growth in the handled devices and moving the limited gaming experience from user devices to online cloud servers.As internet capabilities are enhanced new ways of gaming are being used to improve the gaming experience.In cloud-based video gaming,game engines are hosted in cloud gaming data centers,and compressed gaming scenes are rendered to the players over the internet with updated controls.In such systems,the task of transferring games and video compression imposes huge computational complexity is required on cloud servers.The basic problems in cloud gaming in particular are high encoding time,latency,and low frame rates which require a new methodology for a better solution.To improve the bandwidth issue in cloud games,the compression of video sequences requires an alternative mechanism to improve gaming adaption without input delay.In this paper,the proposed improved methodology is used for automatic unnecessary scene detection,scene removing and bit rate reduction using an adaptive algorithm for object detection in a game scene.As a result,simulations showed without much impact on the players’quality experience,the selective object encoding method and object adaption technique decrease the network latency issue,reduce the game streaming bitrate at a remarkable scale on different games.The proposed algorithm was evaluated for three video game scenes.In this paper,achieved 14.6%decrease in encoding and 45.6%decrease in bit rate for the first video game scene.
文摘4K超高清技术在广播电视领域的快速发展对电视转播车传输系统提出了挑战。对此,提出基于高效率视频编码(High Efficiency Video Coding,HEVC)(又称H.265)编码标准的自适应码率调整算法,结合4G/5G与卫星链路的多路径聚合传输技术,介绍预测性智能缓存管理策略。实验结果表明,所提技术方案在网络带宽波动30%的条件下,能够维持4K信号传输的连续性,端到端延迟控制在200 ms以内,传输成功率在99.5%以上,有效解决了电视转播车高码率4K节目流的稳定传输问题。
基金Supported by the National Natural Science Foundation of China under Grant Nos.6047207660673178+3 种基金60434030(国家自然科学基金)the National Grand Fundamental Research973Program of China under Grant No.2006CB303007(国家重点基础研究发展规划(973))the National High-Tech Research and Development Plan of China under Grant.Nos.2006AA01Z2182006AA01Z215(国家高技术研究发展计划(863))
