A Context-Aware Clustered Routing Approach for Video Transmission over VANETs with Long Lifetime Neighbourhood

2020 ◽  
Vol 10 (1) ◽  
pp. 10-20
Author(s):  
Ammar Thabit Zahary ◽  
Rim Fatoan Al-Shaibani
Keyword(s):  
Video Transmission ◽  
Context Aware ◽  
Long Lifetime

Context-Aware Cognitive QoS Management for Networking Video Transmission

2021 ◽  
pp. 1-13
Author(s):  
Bo Cheng ◽  
Ming Wang ◽  
Xiangtao Lin ◽  
Junliang Chen
Keyword(s):  
Video Transmission ◽  
Context Aware ◽  
Qos Management

scholarly journals Flexible Macroblock Ordering for Context-Aware Ultrasound Video Transmission over Mobile WiMAX

2010 ◽  
Vol 2010 ◽  
pp. 1-14 ◽  
Author(s):  
Maria G. Martini ◽  
Chaminda T. E. R. Hewage
Keyword(s):  
Video Transmission ◽  
End Users ◽  
Unequal Error Protection ◽  
Regions Of Interest ◽  
Multimedia Data ◽  
Mobile Wimax ◽  
Context Aware ◽  
Transmission Strategy ◽  
Flexible Macroblock Ordering ◽  
Network Technologies

The most recent network technologies are enabling a variety of new applications, thanks to the provision of increased bandwidth and better management of Quality of Service. Nevertheless, telemedical services involving multimedia data are still lagging behind, due to the concern of the end users, that is, clinicians and also patients, about the low quality provided. Indeed, emerging network technologies should be appropriately exploited by designing the transmission strategy focusing on quality provision for end users. Stemming from this principle, we propose here a context-aware transmission strategy for medical video transmission over WiMAX systems. Context, in terms of regions of interest (ROI) in a specific session, is taken into account for the identification of multiple regions of interest, and compression/transmission strategies are tailored to such context information. We present a methodology based on H.264 medical video compression and Flexible Macroblock Ordering (FMO) for ROI identification. Two different unequal error protection methodologies, providing higher protection to the most diagnostically relevant data, are presented.

Efficient Frame Error Concealment Using Bilateral Motion Estimation for Low Bit-Rate Video Transmission

2009 ◽  
Vol E92-B (2) ◽  
pp. 461-472
Author(s):  
DinhTrieu DUONG ◽  
Min-Cheol HWANG ◽  
Byeong-Doo CHOI ◽  
Jun-Hyung KIM ◽  
Sung-Jea KO
Keyword(s):  
Motion Estimation ◽  
Video Transmission ◽  
Error Concealment ◽  
Bit Rate ◽  
Low Bit Rate

An Efficient Multiple Description Coding for Multi-View Video Based on the Correlation of Spatial Polyphase Transformed Subsequences

2019 ◽  
Vol 63 (5) ◽  
pp. 50401-1-50401-7 ◽  
Author(s):  
Jing Chen ◽  
Jie Liao ◽  
Huanqiang Zeng ◽  
Canhui Cai ◽  
Kai-Kuang Ma
Keyword(s):  
Video Transmission ◽  
Video Sequence ◽  
Three Dimensional ◽  
The Other ◽  
Multiple Description Coding ◽  
Multiple Description ◽  
Prediction Mode ◽  
Gradient Based ◽  
Directional Interpolation ◽  
Description Coding

Abstract For a robust three-dimensional video transmission through error prone channels, an efficient multiple description coding for multi-view video based on the correlation of spatial polyphase transformed subsequences (CSPT_MDC_MVC) is proposed in this article. The input multi-view video sequence is first separated into four subsequences by spatial polyphase transform and then grouped into two descriptions. With the correlation of macroblocks in corresponding subsequence positions, these subsequences should not be coded in completely the same way. In each description, one subsequence is directly coded by the Joint Multi-view Video Coding (JMVC) encoder and the other subsequence is classified into four sets. According to the classification, the indirectly coding subsequence selectively employed the prediction mode and the prediction vector of the counter directly coding subsequence, which reduces the bitrate consumption and the coding complexity of multiple description coding for multi-view video. On the decoder side, the gradient-based directional interpolation is employed to improve the side reconstructed quality. The effectiveness and robustness of the proposed algorithm is verified by experiments in the JMVC coding platform.

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