Nowadays,many application layer multicast protocols (ALM) in which multiple description coding (MDC) is introduced have been proved to be more scalable and stable than traditional multicast protocols in practical *** ...
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Nowadays,many application layer multicast protocols (ALM) in which multiple description coding (MDC) is introduced have been proved to be more scalable and stable than traditional multicast protocols in practical *** this paper,we propose an ALM system called SMSD based on synchronized MDC for streaming media to address the synchronization of available *** focuses on the video quality,firstly hosts can join the different overlay trees in different layers simultaneously,then the maximum covering set is worked out based on acquired descriptions information to achieve the best video quality,the quality management module with much low overhead is responsible for monitoring the variation of cached content due to departure of parents and activating the re-join *** implemented on Internet-like topology indicate that SMSD achieves higher video quality,lower control traffic than traditional ALM protocols,and comparable latency,link stress and robustness are achieved as well.
In this paper, we propose a balanced multipledescription video coding scheme which is based on the partitioning of the discrete cosine transform (DCT) coefficients. Our scheme splits the single-layered stream generat...
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In this paper, we propose a balanced multipledescription video coding scheme which is based on the partitioning of the discrete cosine transform (DCT) coefficients. Our scheme splits the single-layered stream generated by a standard coder into two correlated and balanced (virtually identical rates and distortions) substreams. The optimization is in the redundancy-rate-distortion sense using Lagrangian relaxation for optimum allocation of redundancy among the blocks in the frame. A greedy algorithm to meet the equal distortions criterion and an algorithm to optimally achieve equal bit rates for the two descriptions are proposed. Our simulation results substantiate our claim of achieving balanced descriptions at high peak signal-to-noise ratios values for any specified redundancy and any target bit rate. Our design complies with the existing motion-compensated DCT-based standards, i.e., each description can be independently decoded by any standard decoder.
For two-description image coding, a conventional scheme is to partition an image into two parts and then to produce each description by alternatively concatenating a finely coded bitstream of one part and a coarsely c...
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For two-description image coding, a conventional scheme is to partition an image into two parts and then to produce each description by alternatively concatenating a finely coded bitstream of one part and a coarsely coded bitstream of the other part. This letter presents a new two-description image coding approach using steganography. Specifically, we propose forming each description by embedding (hiding) the coarsely coded part into the finely coded part based on a least-significant bit (LSB) steganographic method. In this way, the bit budget for the coarsely coded part in each description can be saved with little reconstruction degradation for the finely coded part if the embedding process is well designed. The experimental results substantiate the effectiveness of the proposed method.
A new MD (multipledescription) video coding method, which is based on balanced multiwavelet image transformations, is proposed here. First, we apply balanced multiwavelet transformation to the image;then, correspondi...
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ISBN:
(纸本)0819456438
A new MD (multipledescription) video coding method, which is based on balanced multiwavelet image transformations, is proposed here. First, we apply balanced multiwavelet transformation to the image;then, corresponding components of each sub-band are gathered together, so that we can decompose the image into 4 MDs. By treating every frame of the video sequences like this, we can get a theme of MD video coding. A practical MD coding theme must satisfy two requirements. First, each description should carry the same amount of information. Secondly, there must be dependence between each description. Among commonly used multiwavelets, we find that only balanced multiwavelets can satisfy these two requirements. Furthermore, based on the feature of CARDBAL2 multiwavelet and strict mathematical deductions, we also find a way to estimate the lost descriptions. The experimental results presented in this paper show that, even when 75% of the data of the image are lost, we could still get a good-quality recovered image, with a PSNR value of nearly 30dB.
We proposed in this paper a novel multipledescription scalable coding (MDSC) scheme based on in-band motion compensation temporal filtering (IBMCTF) technique in order to achieve high video coding performance and rob...
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ISBN:
(纸本)0819456578
We proposed in this paper a novel multipledescription scalable coding (MDSC) scheme based on in-band motion compensation temporal filtering (IBMCTF) technique in order to achieve high video coding performance and robust video transmission. The input video sequence is first split into equal-sized groups of frames (GOFs). Within a GOF, each frame is hierarchically decomposed by discrete wavelet transform. Since there is a direct relationship between wavelet coefficients and what they represent in the image content after wavelet decomposition, we are able to reorganize the spatial orientation trees to generate multiple bit-streams and employed SPIHT algorithm to achieve high coding efficiency. We have shown that multiple bit-stream transmission is very effective in combating error propagation in both Internet video streaming and mobile wireless video. Furthermore, we adopt the IBMCTF scheme to remove the redundancy for inter-frames along the temporal direction using motion compensated temporal filtering, thus high coding performance and flexible scalability can be provided in this scheme. In order to make compressed video resilient to channel error and to guarantee robust video transmission over mobile wireless channels, we add redundancy to each bit-stream and apply error concealment strategy for lost motion vectors. Unlike traditional multipledescription schemes, the integration of these techniques enable us to generate more than two bit-streams that may be more appropriate for multiple antenna transmission of compressed video. Simulate results on standard video sequences have shown that the proposed scheme provides flexible tradeoff between coding efficiency and error resilience.
Peer-to-peer (P2P) streaming has become a promising approach for disseminating streaming media content from the server to a large number of interested clients. It still faces many challenges, however, such as high chu...
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Peer-to-peer (P2P) streaming has become a promising approach for disseminating streaming media content from the server to a large number of interested clients. It still faces many challenges, however, such as high churn rate of peer clients, uplink bandwidth constraints of participating peers, and heterogeneity of client capacities. To resolve these issues, this paper presents a new P2P streaming framework that combines with the advantages of both mesh-based multisource overlay networks and scalable video coding techniques, specifically with multiple description coding (MDC), to improve the streaming quality of participating clients. In this paper, an optimized allocation policy (OAP) algorithm was proposed for multidescriptions allocation. Extensive simulations show that the proposed system achieves higher quality of service by peer-assisted cooperative streaming and MDC coding. In addition, we investigate an efficient cooperative caching mechanism for streaming service. The target is to provide low-latency and high-quality services by virtue of peer collaboration. The storage and replacement of caching content are based on a segment-based strategy. Through comparison, we demonstrate the effectiveness of the proposed scheme and compare with the traditional LRUF scheme through extensive experiments over large Internet-like topologies. Results show that the system outperforms some previous schemes in resource utilization and is more robust and resilient to node departure, which demonstrate that it is well suited for quality adaptive cooperative streaming applications.
The objective of multiple description coding (MDC) is to represent a source into multipledescriptions such that various reconstruction qualities are obtained from different subsets of the descriptions. In this paper,...
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The objective of multiple description coding (MDC) is to represent a source into multipledescriptions such that various reconstruction qualities are obtained from different subsets of the descriptions. In this paper, we propose a simple scheme that combines the multipledescriptions transform coding (MDTC) method with the discrete wavelet transform (DWT). We compare the performance of the proposed scheme with a discrete cosine transform (DCT)-based scheme prevalent in other papers. Simulation results show that our proposed DWT technique outperforms both objectively and subjectively the method based on DCT in the case of packet loss. (C) 2006 Elsevier GmbH. All rights reserved.
Providing real-time voice support over multihop ad hoc wireless networks (AWNS) is a challenging task. The standard retransmission-based strategies proposed in the literature are poorly matched to voice applications b...
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Providing real-time voice support over multihop ad hoc wireless networks (AWNS) is a challenging task. The standard retransmission-based strategies proposed in the literature are poorly matched to voice applications because of timeliness and large overheads involved in transmitting small-sized voice packets. To make a voice application feasible over AWNS, the perceived voice quality must be improved while not significantly increasing the packet overhead. We suggest packet-level media-dependent adaptive forward error correction (FEC) at the application layer in tandem with multipath transport for improving the voice quality. Since adaptive FEC masks packet losses in the network, at the medium access control (MAC) layer, we avoid retransmissions (hence, no acknowledgments) in order to reduce the control overhead and end-to-end delay. Further, we exploit the combined strengths of layered coding and multipledescription (MD) coding for supporting error-resilient voice communication in AWNS. We propose an efficient packetization scheme in which the important substream of the voice stream is protected adaptively with FEC depending on the loss rate present in the network and is transmitted over two maximally node-disjoint paths. The less important substream of the voice stream is encoded into two descriptions, which are then transmitted over two maximally node-disjoint paths. The performance of our scheme (packet-level media-dependent adaptive FEC scheme) is evaluated in terms of two parameters: residual packet loss rate (RPLR, packet loss rate after FEC recovery) and average burst length (ABL, average length of consecutive packet losses after FEC recovery) of voice data after FEC recovery. The sets of equations leading to the analytical formulation of both RPLR and ABL are first given for a renewal error process. The values of both these parameters depend on FEC-Offset (r, the distance between original voice frame and piggybacked redundant voice frame) and loss rate prese
multiple description coding (MDC) has emerged as a powerful technique for reliable real-time communications over lossy packet networks. In its basic form, it involves encoding a media stream into r substreams that are...
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multiple description coding (MDC) has emerged as a powerful technique for reliable real-time communications over lossy packet networks. In its basic form, it involves encoding a media stream into r substreams that are sent independently from a source to a destination. Each substream (or description) can be decoded independent of the other r - 1 substreams. With every successful reception of a substream, the quality of the decoded signal improves. In this paper, we consider the problem of placing a set of servers in the network such that a desired quality of service can be provided to a community of clients that request MDC-coded traffic. We formulate the server placement (SP) problem, with the goal of identifying the minimum number of server locations that can provide r descriptions to a set of clients such that the delay associated with each path from a chosen server location to a given client is bounded by a given delay constraint and the total "unreliability" associated with the group of paths to a given client is also upper bounded. We show that the SP problem belongs to the class of NP-complete problems. We propose a mixed-integer linear programming (MILP) formulation and an efficient heuristic solution for the SP problem. Simulations are conducted to evaluate the performance of the proposed algorithm and compare it with the optimal solution provided by the MILP solution.
In this paper, we address the challenges of content transfer in opportunistic networks, and propose techniques to better facilitate data dissemination based on the characteristics of the content. To investigate this p...
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In this paper, we address the challenges of content transfer in opportunistic networks, and propose techniques to better facilitate data dissemination based on the characteristics of the content. To investigate this problem from its origins, we propose three message scheduling algorithms: Sequential Forwarding (SF), Full Interleaving (FI), and Block-based Interleaving (III). Each algorithm is embedded in a specially tailored data dissemination technique to evaluate the benefits of applying it to different types of content and data dissemination methods. Three types of content (file, video and web) are considered and evaluated, and the dissemination methods considered are Layered multiple description coding (LMDC) based and file-based. Using simulations as well as both synthetic and realistic network scenarios, we evaluate the proposed schemes in terms of latency and user perceived quality, and demonstrate how the schemes can achieve much better latency performance for file transfers. Furthermore, we show that using LMDC-based techniques leads to higher user perceived quality, since the end user is allowed to "preview" video file or web content, even before the data has been completely transferred. The effectiveness and robustness of our message scheduling algorithms and their corresponding content dissemination techniques make them ideal solutions that can go a long way toward effective data dissemination in opportunistic networks.
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