Error Prediction Based Redundancy Control for Robust Transmission of Video Over Wireless Links

Nemethova, Olivia; Karner, Wolfgang; Rupp, Markus

doi:10.1109/icc.2007.301

Cited by 6 publications

(8 citation statements)

References 14 publications

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“…H.264 (similar to MPEG-4) often uses RTP (Real Time Transport Protocol (Wenger et al, 2005). H.264 requires approximately 6500 bits per frame (Zhihai et al, 2001;Zhang et al, 2009) with a minimum 10 ms of frame size (Nemethova et al, 2007), which results 65,000 bits per second (inline with the 64 kbps requirement). There are 15 fps with 66 ms inter-frame delays, which will results 15 packets per second with each containing 542 bytes of H.264.MPEG-4 encoded video information ( Table 4).…”

Section: Application Layermentioning

confidence: 98%

A remote interactive non-repudiation multimedia-based m-learning system

Adibi

2010

Telematics and Informatics

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Section: Application Layermentioning

confidence: 98%

A remote interactive non-repudiation multimedia-based m-learning system

Adibi

2010

Telematics and Informatics

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“…The resynchronization information can be advantageously represented as the position of the start of the first macroblock (MB) contained in the RLC PDU. For RLC PDUs with 320 bits and fixed length encoding, 9 bits per MB position indicator (MBPI) are required [39]. Figure 33 shows that the gain from decoding all error free parts of the UDP packet (achievable with the additional resynchronization information) compared to the decoding until the first error occurrence is still more than 5 dB in Y-PSNR for some erroneous frames, which is significant from the user experienced quality point of view.…”

Section: Network Aware Cross-layer Processingmentioning

confidence: 99%

“…In order to decrease the required rate for sending the resynchronization information, we can make use of the link error predictability from section III.5 in a proposed redundancy control mechanism [39].…”

Section: Network Aware Cross-layer Processingmentioning

confidence: 99%

“…The very specific error properties of the link can also be explicitly exploited to improve the end-to-end service quality. In this work, we show that the predictability of the link errors can be used for network-aware cross-layer processing [39] in order to provide substantial gain in video quality with respect to the required data rate. The proposed method transmits additional redundancy information for decoding of the streamed video only in case of expected high link-error probability.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Link Error Analysis and Modeling for Video Streaming Cross-Layer Design in Mobile Communication Networks

Karner¹,

Nemethova²,

Svoboda³

et al. 2007

ETRI J

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Particularly in wireless communications, link errors severely affect the quality of the services due to the high error probability and the specific error characteristics (burst errors) in the radio access part of the network. In this work, we show that thorough analysis and appropriate modeling of radio-link error behavior are essential to evaluate and optimize higher layer protocols and services. They are also the basis for finding network-aware crosslayer processing algorithms which are capable of exploiting the specific properties of the link error statistics, such as predictability. This document presents the analysis of the radio link errors based on measurements in live Universal Mobile Telecommunication System (UMTS) radio access networks as well as new link error models originating from that analysis. It is shown that the knowledge of the specific link error characteristics leads to significant improvements in the quality of streamed video by applying the proposed novel network-and content-aware cross-layer scheduling algorithms. Although based on live UMTS network experience, many of the conclusions in this work are of general validity and are not limited to UMTS only.

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“…The following scenarios are considered in this thesis's security profile: For the worst case scenario where signal/channel conditions are poor, according to [191,192] with a minimum 10 msec of frame size [193], in which the result is 65000 bits per second or 64 kbps. There are 15 frames per second (fps) with 66 msec inter-frame delays, which will results 15 packets per second with each containing 546 bytes of H.264 encoded video information (Table A.2).…”

Section: Multimedia Communicationmentioning

confidence: 99%

An application layer non-repudiation wireless system: A cross-layer approach

Adibi

2010

2010 IEEE International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM)

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Non-repudiation techniques are to ensure any communication taking place between two or more parties will be undeniable. Therefore it is crucial to include digital signatures of the involving parties while the communication is taking place. In medical practices, involved parties include; patient(s), doctor(s), pharmacist(s), who are involved in series of visits, diagnosis, prescriptions, and possible operations. To avoid possible conflicts, deploying non-repudiation techniques help immensely. This thesis considers this issue in a wireless medium and studies the Quality of Service (QoS)/Security requirements in terms of network parameters and performance metrics.In terms of research contributions, this thesis embodies a thorough research on layered and cross-layer QoS and security schemes, in particular, featuring an adaptive Forward Error Correction (FEC) at the application layer, adapting to channel conditions. This leads to a cross layer design, which considers various QoS and security parameters export and import to and from various layers with a special focus on the application layer.The aim of this thesis is to consider a practical implementation and associated complexities of a non-repudiation system, including analytical and experimental testbeds and results. The security schemes are based on Suite-B cryptographic algorithms, including: The Elliptic Curve Diffie-Hellman (ECDH) for key agreement, the Advanced Encryption Standard -Galois/Counter Mode (AES-GCM) for encryption and authentication, the Elliptic Curve Digital Signature Algorithm (ECDSA) for digital signatures, and the Secure Hash Algorithm (SHA) for integrity. A key aspect of Suite-B is the deployment of Elliptic Curve Cryptography (ECC).The non-repudiation aspect of this thesis is based on the Suite-B's digital signature scheme; ECDSA. The digital signature and the hashing function target the entire multimedia data (i.e., text, video, and voice) and the challenge is to offer such extensive security treatment, while guaranteeing certain Quality of Service settings. These settings include: minimum round trip delay, maximum overhead, and minimum bandwidth allocation.iv

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Error Prediction Based Redundancy Control for Robust Transmission of Video Over Wireless Links

Cited by 6 publications

References 14 publications

A remote interactive non-repudiation multimedia-based m-learning system

A remote interactive non-repudiation multimedia-based m-learning system

Link Error Analysis and Modeling for Video Streaming Cross-Layer Design in Mobile Communication Networks

An application layer non-repudiation wireless system: A cross-layer approach

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