Paper Info
Title
Structure-Preserving Hybrid Digital-Analog Video Delivery in Wireless Networks
Abstract
Hybrid digital-analog (HDA) transmission has gained increasing attention recently in the context of wireless video delivery, for its ability to simultaneously achieve high transmission efficiency and smooth quality adaptation. However, previous systems are optimized solely based on the mean squared error criterion without taking the perceptual video quality into consideration. In this work, we propose a structure-preserving HDA video delivery system, named SharpCast, to improve both the objective and subjective visual quality. SharpCast decomposes a video into content part and structure part. The latter is important to the human perception and therefore is protected with a robust digital transmission scheme. Then, the energy-intensive part in the content information is extracted and transmitted in digital for energy efficiency while the residual is transmitted in analog to achieve the desired smooth adaptation. We formulate the resource (power and bandwidth) allocation problem in SharpCast and solve the problem with a greedy strategy. Evaluations over nine standard 720p video sequences show that the proposed SharpCast system outperforms the state-of-the-art digital, analog and HDA schemes by a notable margin in both peak signal-to-noise ratio (PSNR) and structural similarity (SSIM).
Year
DOI
Venue
2015
10.1109/TMM.2015.2451956
Multimedia, IEEE Transactions
Keywords
Field
DocType
Bandwidth,Wireless communication,Channel coding,Discrete cosine transforms,Visualization,PSNR
Wireless network,Wireless,Data transmission,Computer science,Computer network,Mean squared error,Real-time computing,Artificial intelligence,Residual,Computer vision,Efficient energy use,Visualization,Bandwidth (signal processing)
Journal
Volume
Issue
ISSN
PP
99
1520-9210
Citations 
PageRank 
References 
11
0.65
15
Authors
4
Name
Order
Citations
PageRank
He, D.13313.67
chong luo269647.36
Cuiling Lan328324.49
Feng Wu43635295.09