The Experts below are selected from a list of 46458 Experts worldwide ranked by ideXlab platform
Aggelos K Katsaggelos - One of the best experts on this subject based on the ideXlab platform.
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resource allocation for downlink multiuser Video Transmission over wireless lossy networks
IEEE Transactions on Image Processing, 2008Co-Authors: Ehsan Maani, Thrasyvoulos N Pappas, Randall A Berry, Peshala V Pahalawatta, Aggelos K KatsaggelosAbstract:Demand for multimedia services, such as Video streaming over wireless networks, has grown dramatically in recent years. The downlink Transmission of multiple Video sequences to multiple users over a shared resource-limited wireless channel, however, is a daunting task. Among the many challenges in this area are the time-varying channel conditions, limited available resources, such as bandwidth and power, and the different Transmission requirements of different Video content. This work takes into account the time-varying nature of the wireless channels, as well as the importance of individual Video packets, to develop a cross-layer resource allocation and packet scheduling scheme for multiuser Video streaming over lossy wireless packet access networks. Assuming that accurate channel feedback is not available at the scheduler, random channel losses combined with complex error concealment at the receiver make it impossible for the scheduler to determine the actual distortion of the sequence at the receiver. Therefore, the objective of the optimization is to minimize the expected distortion of the received sequence, where the expectation is calculated at the scheduler with respect to the packet loss probability in the channel. The expected distortion is used to order the packets in the Transmission queue of each user, and then gradients of the expected distortion are used to efficiently allocate resources across users. Simulations show that the proposed scheme performs significantly better than a conventional content-independent scheme for Video Transmission.
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rate distortion optimized hybrid error control for real time packetized Video Transmission
IEEE Transactions on Image Processing, 2006Co-Authors: Fan Zhai, Y Eisenberg, Thrasyvoulos N Pappas, Randall A Berry, Aggelos K KatsaggelosAbstract:The problem of application-layer error control for real-time Video Transmission over packet lossy networks is commonly addressed via joint source-channel coding (JSCC), where source coding and forward error correction (FEC) are jointly designed to compensate for packet losses. In this paper, we consider hybrid application-layer error correction consisting of FEC and reTransmissions. The study is carried out in an integrated joint source-channel coding (IJSCC) framework, where error resilient source coding, channel coding, and error concealment are jointly considered in order to achieve the best Video delivery quality. We first show the advantage of the proposed IJSCC framework as compared to a sequential JSCC approach, where error resilient source coding and channel coding are not fully integrated. In the IJSCC framework, we also study the performance of different error control scenarios, such as pure FEC, pure reTransmission, and their combination. Pure FEC and application layer reTransmissions are shown to each achieve optimal results depending on the packet loss rates and the round-trip time. A hybrid of FEC and reTransmissions is shown to outperform each component individually due to its greater flexibility.
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joint source coding and packet classification for real time Video Transmission over differentiated services networks
IEEE Transactions on Multimedia, 2005Co-Authors: Fan Zhai, Y Eisenberg, Thrasyvoulos N Pappas, Randall A Berry, C E Luna, Aggelos K KatsaggelosAbstract:Differentiated Services (DiffServ) is one of the leading architectures for providing quality of service in the Internet. We propose a scheme for real-time Video Transmission over a DiffServ network that jointly considers Video source coding, packet classification, and error concealment within a framework of cost-distortion optimization. The selections of encoding parameters and packet classification are both used to manage end-to-end delay variations and packet losses within the network. We present two dual formulations of the proposed scheme: the minimum distortion problem, in which the objective is to minimize the end-to-end distortion subject to cost and delay constraints, and the minimum cost problem, which minimizes the total cost subject to end-to-end distortion and delay constraints. A solution to these problems using Lagrangian relaxation and dynamic programming is given. Simulation results demonstrate the advantage of jointly adapting the source coding and packet classification in DiffServ networks.
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advances in efficient resource allocation for packet based real time Video Transmission
Proceedings of the IEEE, 2005Co-Authors: Aggelos K Katsaggelos, Fan Zhai, Y Eisenberg, Randall A Berry, Thrasyvoulos N PappasAbstract:Multimedia applications involving the Transmission of Video over communication networks are rapidly increasing in popularity. Such applications can greatly benefit from adapting Video coding parameters to network conditions as well as adapting network parameters to better support the application requirements. These two dimensions can both be viewed as allocating source and network resources to improve Video quality. We highlight recent advances in optimal resource allocation for real-time Video communications over unreliable and resource constrained communication channels. More specifically, we focus on point-to-point coding and delivery schemes in which the sequences are encoded on the fly. We present a high-level framework for resource-distortion optimization. The framework can be used for jointly considering factors across network layers, including source coding, channel resource allocation, and error concealment. For example, resources can take the form of Transmission energy in a wireless channel, and Transmission cost in a DiffServ-based Internet channel. This framework can be used to optimally trade off resource consumption with end-to-end Video quality in packet-based Video Transmission. After giving an overview of this framework, we review recent work in two areas-energy efficient wireless Video Transmission and resource allocation for Internet-based applications.
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an integrated joint source channel coding framework for Video Transmission over packet lossy networks
International Conference on Image Processing, 2004Co-Authors: Fan Zhai, Y Eisenberg, Thrasyvoulos N Pappas, Randall A Berry, Aggelos K KatsaggelosAbstract:The problem of application-layer error control for real-time Video Transmission over packet lossy networks is commonly addressed by joint source-channel coding (JSCC). The traditional JSCC approaches solve this problem in a sequential manner, where source coding and channel coding are not fully integrated. In this paper, we present an integrated joint source-channel coding (IJSCC) framework, where error resilient source coding, channel coding and error concealment are jointly considered in an integrated manner. We show through both analysis and simulations the advantages of the proposed IJSCC approach, in comparison to a sequential JSCC approach.
Thrasyvoulos N Pappas - One of the best experts on this subject based on the ideXlab platform.
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resource allocation for downlink multiuser Video Transmission over wireless lossy networks
IEEE Transactions on Image Processing, 2008Co-Authors: Ehsan Maani, Thrasyvoulos N Pappas, Randall A Berry, Peshala V Pahalawatta, Aggelos K KatsaggelosAbstract:Demand for multimedia services, such as Video streaming over wireless networks, has grown dramatically in recent years. The downlink Transmission of multiple Video sequences to multiple users over a shared resource-limited wireless channel, however, is a daunting task. Among the many challenges in this area are the time-varying channel conditions, limited available resources, such as bandwidth and power, and the different Transmission requirements of different Video content. This work takes into account the time-varying nature of the wireless channels, as well as the importance of individual Video packets, to develop a cross-layer resource allocation and packet scheduling scheme for multiuser Video streaming over lossy wireless packet access networks. Assuming that accurate channel feedback is not available at the scheduler, random channel losses combined with complex error concealment at the receiver make it impossible for the scheduler to determine the actual distortion of the sequence at the receiver. Therefore, the objective of the optimization is to minimize the expected distortion of the received sequence, where the expectation is calculated at the scheduler with respect to the packet loss probability in the channel. The expected distortion is used to order the packets in the Transmission queue of each user, and then gradients of the expected distortion are used to efficiently allocate resources across users. Simulations show that the proposed scheme performs significantly better than a conventional content-independent scheme for Video Transmission.
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rate distortion optimized hybrid error control for real time packetized Video Transmission
IEEE Transactions on Image Processing, 2006Co-Authors: Fan Zhai, Y Eisenberg, Thrasyvoulos N Pappas, Randall A Berry, Aggelos K KatsaggelosAbstract:The problem of application-layer error control for real-time Video Transmission over packet lossy networks is commonly addressed via joint source-channel coding (JSCC), where source coding and forward error correction (FEC) are jointly designed to compensate for packet losses. In this paper, we consider hybrid application-layer error correction consisting of FEC and reTransmissions. The study is carried out in an integrated joint source-channel coding (IJSCC) framework, where error resilient source coding, channel coding, and error concealment are jointly considered in order to achieve the best Video delivery quality. We first show the advantage of the proposed IJSCC framework as compared to a sequential JSCC approach, where error resilient source coding and channel coding are not fully integrated. In the IJSCC framework, we also study the performance of different error control scenarios, such as pure FEC, pure reTransmission, and their combination. Pure FEC and application layer reTransmissions are shown to each achieve optimal results depending on the packet loss rates and the round-trip time. A hybrid of FEC and reTransmissions is shown to outperform each component individually due to its greater flexibility.
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joint source coding and packet classification for real time Video Transmission over differentiated services networks
IEEE Transactions on Multimedia, 2005Co-Authors: Fan Zhai, Y Eisenberg, Thrasyvoulos N Pappas, Randall A Berry, C E Luna, Aggelos K KatsaggelosAbstract:Differentiated Services (DiffServ) is one of the leading architectures for providing quality of service in the Internet. We propose a scheme for real-time Video Transmission over a DiffServ network that jointly considers Video source coding, packet classification, and error concealment within a framework of cost-distortion optimization. The selections of encoding parameters and packet classification are both used to manage end-to-end delay variations and packet losses within the network. We present two dual formulations of the proposed scheme: the minimum distortion problem, in which the objective is to minimize the end-to-end distortion subject to cost and delay constraints, and the minimum cost problem, which minimizes the total cost subject to end-to-end distortion and delay constraints. A solution to these problems using Lagrangian relaxation and dynamic programming is given. Simulation results demonstrate the advantage of jointly adapting the source coding and packet classification in DiffServ networks.
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advances in efficient resource allocation for packet based real time Video Transmission
Proceedings of the IEEE, 2005Co-Authors: Aggelos K Katsaggelos, Fan Zhai, Y Eisenberg, Randall A Berry, Thrasyvoulos N PappasAbstract:Multimedia applications involving the Transmission of Video over communication networks are rapidly increasing in popularity. Such applications can greatly benefit from adapting Video coding parameters to network conditions as well as adapting network parameters to better support the application requirements. These two dimensions can both be viewed as allocating source and network resources to improve Video quality. We highlight recent advances in optimal resource allocation for real-time Video communications over unreliable and resource constrained communication channels. More specifically, we focus on point-to-point coding and delivery schemes in which the sequences are encoded on the fly. We present a high-level framework for resource-distortion optimization. The framework can be used for jointly considering factors across network layers, including source coding, channel resource allocation, and error concealment. For example, resources can take the form of Transmission energy in a wireless channel, and Transmission cost in a DiffServ-based Internet channel. This framework can be used to optimally trade off resource consumption with end-to-end Video quality in packet-based Video Transmission. After giving an overview of this framework, we review recent work in two areas-energy efficient wireless Video Transmission and resource allocation for Internet-based applications.
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an integrated joint source channel coding framework for Video Transmission over packet lossy networks
International Conference on Image Processing, 2004Co-Authors: Fan Zhai, Y Eisenberg, Thrasyvoulos N Pappas, Randall A Berry, Aggelos K KatsaggelosAbstract:The problem of application-layer error control for real-time Video Transmission over packet lossy networks is commonly addressed by joint source-channel coding (JSCC). The traditional JSCC approaches solve this problem in a sequential manner, where source coding and channel coding are not fully integrated. In this paper, we present an integrated joint source-channel coding (IJSCC) framework, where error resilient source coding, channel coding and error concealment are jointly considered in an integrated manner. We show through both analysis and simulations the advantages of the proposed IJSCC approach, in comparison to a sequential JSCC approach.
Randall A Berry - One of the best experts on this subject based on the ideXlab platform.
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resource allocation for downlink multiuser Video Transmission over wireless lossy networks
IEEE Transactions on Image Processing, 2008Co-Authors: Ehsan Maani, Thrasyvoulos N Pappas, Randall A Berry, Peshala V Pahalawatta, Aggelos K KatsaggelosAbstract:Demand for multimedia services, such as Video streaming over wireless networks, has grown dramatically in recent years. The downlink Transmission of multiple Video sequences to multiple users over a shared resource-limited wireless channel, however, is a daunting task. Among the many challenges in this area are the time-varying channel conditions, limited available resources, such as bandwidth and power, and the different Transmission requirements of different Video content. This work takes into account the time-varying nature of the wireless channels, as well as the importance of individual Video packets, to develop a cross-layer resource allocation and packet scheduling scheme for multiuser Video streaming over lossy wireless packet access networks. Assuming that accurate channel feedback is not available at the scheduler, random channel losses combined with complex error concealment at the receiver make it impossible for the scheduler to determine the actual distortion of the sequence at the receiver. Therefore, the objective of the optimization is to minimize the expected distortion of the received sequence, where the expectation is calculated at the scheduler with respect to the packet loss probability in the channel. The expected distortion is used to order the packets in the Transmission queue of each user, and then gradients of the expected distortion are used to efficiently allocate resources across users. Simulations show that the proposed scheme performs significantly better than a conventional content-independent scheme for Video Transmission.
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rate distortion optimized hybrid error control for real time packetized Video Transmission
IEEE Transactions on Image Processing, 2006Co-Authors: Fan Zhai, Y Eisenberg, Thrasyvoulos N Pappas, Randall A Berry, Aggelos K KatsaggelosAbstract:The problem of application-layer error control for real-time Video Transmission over packet lossy networks is commonly addressed via joint source-channel coding (JSCC), where source coding and forward error correction (FEC) are jointly designed to compensate for packet losses. In this paper, we consider hybrid application-layer error correction consisting of FEC and reTransmissions. The study is carried out in an integrated joint source-channel coding (IJSCC) framework, where error resilient source coding, channel coding, and error concealment are jointly considered in order to achieve the best Video delivery quality. We first show the advantage of the proposed IJSCC framework as compared to a sequential JSCC approach, where error resilient source coding and channel coding are not fully integrated. In the IJSCC framework, we also study the performance of different error control scenarios, such as pure FEC, pure reTransmission, and their combination. Pure FEC and application layer reTransmissions are shown to each achieve optimal results depending on the packet loss rates and the round-trip time. A hybrid of FEC and reTransmissions is shown to outperform each component individually due to its greater flexibility.
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joint source coding and packet classification for real time Video Transmission over differentiated services networks
IEEE Transactions on Multimedia, 2005Co-Authors: Fan Zhai, Y Eisenberg, Thrasyvoulos N Pappas, Randall A Berry, C E Luna, Aggelos K KatsaggelosAbstract:Differentiated Services (DiffServ) is one of the leading architectures for providing quality of service in the Internet. We propose a scheme for real-time Video Transmission over a DiffServ network that jointly considers Video source coding, packet classification, and error concealment within a framework of cost-distortion optimization. The selections of encoding parameters and packet classification are both used to manage end-to-end delay variations and packet losses within the network. We present two dual formulations of the proposed scheme: the minimum distortion problem, in which the objective is to minimize the end-to-end distortion subject to cost and delay constraints, and the minimum cost problem, which minimizes the total cost subject to end-to-end distortion and delay constraints. A solution to these problems using Lagrangian relaxation and dynamic programming is given. Simulation results demonstrate the advantage of jointly adapting the source coding and packet classification in DiffServ networks.
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advances in efficient resource allocation for packet based real time Video Transmission
Proceedings of the IEEE, 2005Co-Authors: Aggelos K Katsaggelos, Fan Zhai, Y Eisenberg, Randall A Berry, Thrasyvoulos N PappasAbstract:Multimedia applications involving the Transmission of Video over communication networks are rapidly increasing in popularity. Such applications can greatly benefit from adapting Video coding parameters to network conditions as well as adapting network parameters to better support the application requirements. These two dimensions can both be viewed as allocating source and network resources to improve Video quality. We highlight recent advances in optimal resource allocation for real-time Video communications over unreliable and resource constrained communication channels. More specifically, we focus on point-to-point coding and delivery schemes in which the sequences are encoded on the fly. We present a high-level framework for resource-distortion optimization. The framework can be used for jointly considering factors across network layers, including source coding, channel resource allocation, and error concealment. For example, resources can take the form of Transmission energy in a wireless channel, and Transmission cost in a DiffServ-based Internet channel. This framework can be used to optimally trade off resource consumption with end-to-end Video quality in packet-based Video Transmission. After giving an overview of this framework, we review recent work in two areas-energy efficient wireless Video Transmission and resource allocation for Internet-based applications.
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an integrated joint source channel coding framework for Video Transmission over packet lossy networks
International Conference on Image Processing, 2004Co-Authors: Fan Zhai, Y Eisenberg, Thrasyvoulos N Pappas, Randall A Berry, Aggelos K KatsaggelosAbstract:The problem of application-layer error control for real-time Video Transmission over packet lossy networks is commonly addressed by joint source-channel coding (JSCC). The traditional JSCC approaches solve this problem in a sequential manner, where source coding and channel coding are not fully integrated. In this paper, we present an integrated joint source-channel coding (IJSCC) framework, where error resilient source coding, channel coding and error concealment are jointly considered in an integrated manner. We show through both analysis and simulations the advantages of the proposed IJSCC approach, in comparison to a sequential JSCC approach.
Fan Zhai - One of the best experts on this subject based on the ideXlab platform.
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rate distortion optimized hybrid error control for real time packetized Video Transmission
IEEE Transactions on Image Processing, 2006Co-Authors: Fan Zhai, Y Eisenberg, Thrasyvoulos N Pappas, Randall A Berry, Aggelos K KatsaggelosAbstract:The problem of application-layer error control for real-time Video Transmission over packet lossy networks is commonly addressed via joint source-channel coding (JSCC), where source coding and forward error correction (FEC) are jointly designed to compensate for packet losses. In this paper, we consider hybrid application-layer error correction consisting of FEC and reTransmissions. The study is carried out in an integrated joint source-channel coding (IJSCC) framework, where error resilient source coding, channel coding, and error concealment are jointly considered in order to achieve the best Video delivery quality. We first show the advantage of the proposed IJSCC framework as compared to a sequential JSCC approach, where error resilient source coding and channel coding are not fully integrated. In the IJSCC framework, we also study the performance of different error control scenarios, such as pure FEC, pure reTransmission, and their combination. Pure FEC and application layer reTransmissions are shown to each achieve optimal results depending on the packet loss rates and the round-trip time. A hybrid of FEC and reTransmissions is shown to outperform each component individually due to its greater flexibility.
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joint source coding and packet classification for real time Video Transmission over differentiated services networks
IEEE Transactions on Multimedia, 2005Co-Authors: Fan Zhai, Y Eisenberg, Thrasyvoulos N Pappas, Randall A Berry, C E Luna, Aggelos K KatsaggelosAbstract:Differentiated Services (DiffServ) is one of the leading architectures for providing quality of service in the Internet. We propose a scheme for real-time Video Transmission over a DiffServ network that jointly considers Video source coding, packet classification, and error concealment within a framework of cost-distortion optimization. The selections of encoding parameters and packet classification are both used to manage end-to-end delay variations and packet losses within the network. We present two dual formulations of the proposed scheme: the minimum distortion problem, in which the objective is to minimize the end-to-end distortion subject to cost and delay constraints, and the minimum cost problem, which minimizes the total cost subject to end-to-end distortion and delay constraints. A solution to these problems using Lagrangian relaxation and dynamic programming is given. Simulation results demonstrate the advantage of jointly adapting the source coding and packet classification in DiffServ networks.
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advances in efficient resource allocation for packet based real time Video Transmission
Proceedings of the IEEE, 2005Co-Authors: Aggelos K Katsaggelos, Fan Zhai, Y Eisenberg, Randall A Berry, Thrasyvoulos N PappasAbstract:Multimedia applications involving the Transmission of Video over communication networks are rapidly increasing in popularity. Such applications can greatly benefit from adapting Video coding parameters to network conditions as well as adapting network parameters to better support the application requirements. These two dimensions can both be viewed as allocating source and network resources to improve Video quality. We highlight recent advances in optimal resource allocation for real-time Video communications over unreliable and resource constrained communication channels. More specifically, we focus on point-to-point coding and delivery schemes in which the sequences are encoded on the fly. We present a high-level framework for resource-distortion optimization. The framework can be used for jointly considering factors across network layers, including source coding, channel resource allocation, and error concealment. For example, resources can take the form of Transmission energy in a wireless channel, and Transmission cost in a DiffServ-based Internet channel. This framework can be used to optimally trade off resource consumption with end-to-end Video quality in packet-based Video Transmission. After giving an overview of this framework, we review recent work in two areas-energy efficient wireless Video Transmission and resource allocation for Internet-based applications.
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an integrated joint source channel coding framework for Video Transmission over packet lossy networks
International Conference on Image Processing, 2004Co-Authors: Fan Zhai, Y Eisenberg, Thrasyvoulos N Pappas, Randall A Berry, Aggelos K KatsaggelosAbstract:The problem of application-layer error control for real-time Video Transmission over packet lossy networks is commonly addressed by joint source-channel coding (JSCC). The traditional JSCC approaches solve this problem in a sequential manner, where source coding and channel coding are not fully integrated. In this paper, we present an integrated joint source-channel coding (IJSCC) framework, where error resilient source coding, channel coding and error concealment are jointly considered in an integrated manner. We show through both analysis and simulations the advantages of the proposed IJSCC approach, in comparison to a sequential JSCC approach.
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rate distortion optimized hybrid error control for real time packetized Video Transmission
International Conference on Communications, 2004Co-Authors: Fan Zhai, Y Eisenberg, Thrasyvoulos N Pappas, Randall A Berry, Aggelos K KatsaggelosAbstract:In this paper, hybrid error control for real-time Video Transmission is studied. The study is carried out using a proposed integrated joint source-channel coding framework, which jointly considers error resilient source coding, channel coding, and error concealment, in order to achieve the best Video quality and focuses on the performance comparison of several error correction scenarios, such as forward error correction (FEC), reTransmission, and the combination of both. Simulation results show that either FEC or reTransmission can be optimal depending on the packet loss rates and network round trip time. The proposed hybrid FEC/reTransmission scheme outperforms both.
Y Eisenberg - One of the best experts on this subject based on the ideXlab platform.
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rate distortion optimized hybrid error control for real time packetized Video Transmission
IEEE Transactions on Image Processing, 2006Co-Authors: Fan Zhai, Y Eisenberg, Thrasyvoulos N Pappas, Randall A Berry, Aggelos K KatsaggelosAbstract:The problem of application-layer error control for real-time Video Transmission over packet lossy networks is commonly addressed via joint source-channel coding (JSCC), where source coding and forward error correction (FEC) are jointly designed to compensate for packet losses. In this paper, we consider hybrid application-layer error correction consisting of FEC and reTransmissions. The study is carried out in an integrated joint source-channel coding (IJSCC) framework, where error resilient source coding, channel coding, and error concealment are jointly considered in order to achieve the best Video delivery quality. We first show the advantage of the proposed IJSCC framework as compared to a sequential JSCC approach, where error resilient source coding and channel coding are not fully integrated. In the IJSCC framework, we also study the performance of different error control scenarios, such as pure FEC, pure reTransmission, and their combination. Pure FEC and application layer reTransmissions are shown to each achieve optimal results depending on the packet loss rates and the round-trip time. A hybrid of FEC and reTransmissions is shown to outperform each component individually due to its greater flexibility.
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joint source coding and packet classification for real time Video Transmission over differentiated services networks
IEEE Transactions on Multimedia, 2005Co-Authors: Fan Zhai, Y Eisenberg, Thrasyvoulos N Pappas, Randall A Berry, C E Luna, Aggelos K KatsaggelosAbstract:Differentiated Services (DiffServ) is one of the leading architectures for providing quality of service in the Internet. We propose a scheme for real-time Video Transmission over a DiffServ network that jointly considers Video source coding, packet classification, and error concealment within a framework of cost-distortion optimization. The selections of encoding parameters and packet classification are both used to manage end-to-end delay variations and packet losses within the network. We present two dual formulations of the proposed scheme: the minimum distortion problem, in which the objective is to minimize the end-to-end distortion subject to cost and delay constraints, and the minimum cost problem, which minimizes the total cost subject to end-to-end distortion and delay constraints. A solution to these problems using Lagrangian relaxation and dynamic programming is given. Simulation results demonstrate the advantage of jointly adapting the source coding and packet classification in DiffServ networks.
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advances in efficient resource allocation for packet based real time Video Transmission
Proceedings of the IEEE, 2005Co-Authors: Aggelos K Katsaggelos, Fan Zhai, Y Eisenberg, Randall A Berry, Thrasyvoulos N PappasAbstract:Multimedia applications involving the Transmission of Video over communication networks are rapidly increasing in popularity. Such applications can greatly benefit from adapting Video coding parameters to network conditions as well as adapting network parameters to better support the application requirements. These two dimensions can both be viewed as allocating source and network resources to improve Video quality. We highlight recent advances in optimal resource allocation for real-time Video communications over unreliable and resource constrained communication channels. More specifically, we focus on point-to-point coding and delivery schemes in which the sequences are encoded on the fly. We present a high-level framework for resource-distortion optimization. The framework can be used for jointly considering factors across network layers, including source coding, channel resource allocation, and error concealment. For example, resources can take the form of Transmission energy in a wireless channel, and Transmission cost in a DiffServ-based Internet channel. This framework can be used to optimally trade off resource consumption with end-to-end Video quality in packet-based Video Transmission. After giving an overview of this framework, we review recent work in two areas-energy efficient wireless Video Transmission and resource allocation for Internet-based applications.
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an integrated joint source channel coding framework for Video Transmission over packet lossy networks
International Conference on Image Processing, 2004Co-Authors: Fan Zhai, Y Eisenberg, Thrasyvoulos N Pappas, Randall A Berry, Aggelos K KatsaggelosAbstract:The problem of application-layer error control for real-time Video Transmission over packet lossy networks is commonly addressed by joint source-channel coding (JSCC). The traditional JSCC approaches solve this problem in a sequential manner, where source coding and channel coding are not fully integrated. In this paper, we present an integrated joint source-channel coding (IJSCC) framework, where error resilient source coding, channel coding and error concealment are jointly considered in an integrated manner. We show through both analysis and simulations the advantages of the proposed IJSCC approach, in comparison to a sequential JSCC approach.
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rate distortion optimized hybrid error control for real time packetized Video Transmission
International Conference on Communications, 2004Co-Authors: Fan Zhai, Y Eisenberg, Thrasyvoulos N Pappas, Randall A Berry, Aggelos K KatsaggelosAbstract:In this paper, hybrid error control for real-time Video Transmission is studied. The study is carried out using a proposed integrated joint source-channel coding framework, which jointly considers error resilient source coding, channel coding, and error concealment, in order to achieve the best Video quality and focuses on the performance comparison of several error correction scenarios, such as forward error correction (FEC), reTransmission, and the combination of both. Simulation results show that either FEC or reTransmission can be optimal depending on the packet loss rates and network round trip time. The proposed hybrid FEC/reTransmission scheme outperforms both.
