Joint Source and Channel Coding for Real Time H.264 Coded Video Transmission Using Mobile Hand-held Devices

Azni, Mohamed; Pyndiah, Ramesh; Mokrani, Karim; Guilloud, Frédéric

doi:10.4103/0377-2063.55984

Cited by 5 publications

(12 citation statements)

References 19 publications

(35 reference statements)

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“…With the rapid improvement of network protocol, multimedia technology has made video-ondemand more and more popular in our daily life. The daily life applications like mobile services, video-conferencing, IPTV, HDTV, and HD video storage, H.265/HEVC coding is highly implemented [22].…”

Section: Figure 3 Zig-zag Ordering Of Dct Coefficientsmentioning

confidence: 99%

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Content Delivery Through Hybrid Architecture in Video on Demand System

Kanrar¹,

Singha²

2019

ISI

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Peer-to-Peer (P2P) network needs architectural modification for smooth and fast transportation of video content. The viewer imports chunk video objects through the proxy server. The enormous growth of user requests in a small session of time creates huge load on the VOD system. The situation requires either the proxy server streamed video-content fully or partly to the viewers. The missing chunk at the proxy server is imported from the connected peer nodes. Peers exchange chunks among themselves according to some chunk selection policy. Peer node randomly contacts another peer to download a missing chunk from the buffers during each time slot. In video streaming, when the relevant frame is required at the viewer ends that should be available at the respective proxy server. The video watcher also initiates various types of interactive operations like a move forward or skips some finite number of frames that create congestion inside the VOD system. To elevate the situation it needs an effective content delivery mechanism for smooth transportation of content. The proposed hybrid architecture is composed of P2P and mesh architecture that effectively enhances the search mechanism and content transportation in the VOD system.

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Section: Figure 3 Zig-zag Ordering Of Dct Coefficientsmentioning

confidence: 99%

“…It is likely to possess maximum complexity. Various numbers of architecture are proposed to improve the cascade transcoder [22][23][24][25][26]. Those architectures are considered by removing the motion estimation module.…”

Section: Transcoding For Video Streamingmentioning

confidence: 99%

Content Delivery Through Hybrid Architecture in Video on Demand System

Kanrar¹,

Singha²

2019

ISI

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“…Forward Error Correction (FEC) is one of the key protection methods against channel errors. Since the last decade, researchers have already spent much effort on this subject (Piri et al, 2010;Argyriou et al, 2009;Azni et al, 2009;Zhuo et al, 2008;Coudoux et al, 2008). In Zhuo et al (2008) an adaptive JSCC over wireless channel based on a new rate-quality (R-Q) model of the H.264/AVC and the error protection characteristics of the turbo code is suggested.…”

Section: Introductionmentioning

confidence: 99%

Efficient Mobile Video Transmission Based on a Joint Coding Scheme

Boudjadja

Azni

Dahmani

et al. 2017

JICT

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In this paper, we propose a joint coding design which uses the Symbol Forward Error Correction (S-FEC) at the application layer. The purpose of this work is on one hand to minimize the Packet Loss Rate (PLR) and, on the other hand to maximize the visual quality of video transmitted over a wireless network (WN). The scheme proposed is founded on a FEC adaptable with the semantics of the H.264/AVC video encoding. This mechanism relies upon a rate distortion algorithm, controlling the channel code rates under the global rate constraints given by the WN. Based on a data partitioning (DP) tool, both packet type and packet length are taken into account by the proposed optimization mechanism which leads to unequal error protection (UEP). The performance of the proposed JSCC unequal error control is illustrated over wireless network by performing simulations under different channel conditions. The simulation results are then compared with an equal error protection (EEP) scheme.

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“…It is efficient to adaptively change the FEC code rate in response to time-varying packet loss dynamics in order to ensure consistent optimal video quality [1]. The optimal FEC code rate decision is a crucial procedure to determine the optimal source and channel coding rates to minimize the overall picture distortion when transporting video pack- focused on the optimal code rate decision for joint source channel coding (JSCC).…”

Section: Introductionmentioning

confidence: 99%

An Accurate Estimation of Channel Loss Threshold Set for Optimal FEC Code Rate Decision

Jung¹,

Jeong²,

Seo³

2014

Journal of Broadcast Engineering

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Conventional forward error correction (FEC) code rate decision schemes using analytical source coding distortion model and channel-induced distortion model are usually complex, and require the typical process of model parameter training which involves potentially high computational complexity and implementation cost. To avoid the complex modeling procedure, we propose a simple but accurate joint source-channel distortion model to estimate channel loss threshold set for optimal FEC code rate decision.

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Joint Source and Channel Coding for Real Time H.264 Coded Video Transmission Using Mobile Hand-held Devices

Cited by 5 publications

References 19 publications

Content Delivery Through Hybrid Architecture in Video on Demand System

Content Delivery Through Hybrid Architecture in Video on Demand System

Efficient Mobile Video Transmission Based on a Joint Coding Scheme

An Accurate Estimation of Channel Loss Threshold Set for Optimal FEC Code Rate Decision

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