Hierarchical Objective Quality Assessment for CS Video in WMSN

Compressive sensing (CS) is a sub-Nyquist sampling way while still enabling exact reconstruction, which is applicable to WMSN. In this paper, based on the characteristic of CS video in WMSN, we proposed a hierarchical objective CS video quality assessment (HOCSVQA) approach to get CS video quality i...

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Main Authors: Shouning Chen, Baoyu Zheng, Yujuan Zhao
Format: Article
Language:English
Published: Wiley 2015-10-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2015/237565
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author Shouning Chen
Baoyu Zheng
Yujuan Zhao
author_facet Shouning Chen
Baoyu Zheng
Yujuan Zhao
author_sort Shouning Chen
collection DOAJ
description Compressive sensing (CS) is a sub-Nyquist sampling way while still enabling exact reconstruction, which is applicable to WMSN. In this paper, based on the characteristic of CS video in WMSN, we proposed a hierarchical objective CS video quality assessment (HOCSVQA) approach to get CS video quality index (CSVQI) from three levels, measurement level, stream level, and packet level, respectively. This approach cannot only keep the convenience and real-time characteristic of objective video assessment, but also reflect the QoE to a certain extent due to the coefficients regressed from subjective video assessment experiments. A set of experiments on subjective CS video quality assessment and another set of verification experiments are designed and settled. The CS video quality index, CSVQI, assessed by the model we proposed maintained a high correlation with data from verification experiments under statistical correlation measure.
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institution Kabale University
issn 1550-1477
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publishDate 2015-10-01
publisher Wiley
record_format Article
series International Journal of Distributed Sensor Networks
spelling doaj-art-7e8b58b6c900401ebcc8b84d669ad65b2025-08-20T03:35:34ZengWileyInternational Journal of Distributed Sensor Networks1550-14772015-10-011110.1155/2015/237565237565Hierarchical Objective Quality Assessment for CS Video in WMSNShouning Chen0Baoyu Zheng1Yujuan Zhao2 Key Lab of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210003, China Key Lab of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210003, China College of Mathematics and Information, Jiangsu Second Normal University, Nanjing, Jiangsu 210003, ChinaCompressive sensing (CS) is a sub-Nyquist sampling way while still enabling exact reconstruction, which is applicable to WMSN. In this paper, based on the characteristic of CS video in WMSN, we proposed a hierarchical objective CS video quality assessment (HOCSVQA) approach to get CS video quality index (CSVQI) from three levels, measurement level, stream level, and packet level, respectively. This approach cannot only keep the convenience and real-time characteristic of objective video assessment, but also reflect the QoE to a certain extent due to the coefficients regressed from subjective video assessment experiments. A set of experiments on subjective CS video quality assessment and another set of verification experiments are designed and settled. The CS video quality index, CSVQI, assessed by the model we proposed maintained a high correlation with data from verification experiments under statistical correlation measure.https://doi.org/10.1155/2015/237565
spellingShingle Shouning Chen
Baoyu Zheng
Yujuan Zhao
Hierarchical Objective Quality Assessment for CS Video in WMSN
International Journal of Distributed Sensor Networks
title Hierarchical Objective Quality Assessment for CS Video in WMSN
title_full Hierarchical Objective Quality Assessment for CS Video in WMSN
title_fullStr Hierarchical Objective Quality Assessment for CS Video in WMSN
title_full_unstemmed Hierarchical Objective Quality Assessment for CS Video in WMSN
title_short Hierarchical Objective Quality Assessment for CS Video in WMSN
title_sort hierarchical objective quality assessment for cs video in wmsn
url https://doi.org/10.1155/2015/237565
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AT baoyuzheng hierarchicalobjectivequalityassessmentforcsvideoinwmsn
AT yujuanzhao hierarchicalobjectivequalityassessmentforcsvideoinwmsn