Low-Cost Approach for Improving Video Transmission Efficiency in WVSN

doi:10.1007/s12204-020-2202-3

Journal of Shanghai Jiao Tong University(Science) ›› 2020, Vol. 25 ›› Issue (5): 600-605.doi: 10.1007/s12204-020-2202-3

Low-Cost Approach for Improving Video Transmission Efficiency in WVSN

LIU Min, DENG Bin, TANG Ying, WU Minghu, WANG Juan

(1. Hubei Key Laboratory for High-Efficiency Utilization of Solar Energy and Operation Control of Energy Storage System,
Hubei University of Technology, Wuhan 430068, China; 2. Department of Electrical and Computer Engineering, Rowan
University, Glassboro, NJ 08028, USA; 3. State Key Laboratory of Management and Control for Complex Systems,
Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; 4. Institute of Smart Education, Qingdao
Academy of Intelligent Industries, Qingdao 266041, Shandong, China)

出版日期:2020-10-28 发布日期:2020-09-11
通讯作者: TANG Ying (唐瑛) E-mail:Tang@rowan.edu

Low-Cost Approach for Improving Video Transmission Efficiency in WVSN

LIU Min, DENG Bin, TANG Ying, WU Minghu, WANG Juan

(1. Hubei Key Laboratory for High-Efficiency Utilization of Solar Energy and Operation Control of Energy Storage System,
Hubei University of Technology, Wuhan 430068, China; 2. Department of Electrical and Computer Engineering, Rowan
University, Glassboro, NJ 08028, USA; 3. State Key Laboratory of Management and Control for Complex Systems,
Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; 4. Institute of Smart Education, Qingdao
Academy of Intelligent Industries, Qingdao 266041, Shandong, China)

Online:2020-10-28 Published:2020-09-11
Contact: TANG Ying (唐瑛) E-mail:Tang@rowan.edu

摘要/Abstract

摘要： The wireless visual sensor network (WVSN) as a new emerged intelligent visual system, has been
applied in many video monitoring sites. However, there is still great challenge because of the limited wireless
network bandwidth. To resolve the problem, we propose a real-time dynamic texture approach which can detect
and reduce the temporal redundancy during many successive image frames. Firstly, an adaptively learning background
model is improved to discover successive similar image frames from the inputting video sequence. Then,
the dynamic texture model based on the singular value decomposition is adopted to distinguish foreground and
background element dynamics. Furthermore, a background discarding strategy based on visual motion coherence
is proposed to determine whether each image frame is streamed or not. To evaluate the trade-off performance
of the proposed method, it is tested on the CDW-2014 dataset, which can accurately detect the first foreground
frame when the moving objects of interest appear in the field of view in the most tested dynamic scenes, and
the misdetection rate of the undetected foreground frames is near to zero. Compared to the original stream, it
can reduce the occupied bandwidth a lot and its computational cost is relatively lower than the state-of-the-art
methods.

关键词: wireless visual sensor network (WVSN), temporal redundancy, foreground, background, dynamic
texture

Abstract: The wireless visual sensor network (WVSN) as a new emerged intelligent visual system, has been
applied in many video monitoring sites. However, there is still great challenge because of the limited wireless
network bandwidth. To resolve the problem, we propose a real-time dynamic texture approach which can detect
and reduce the temporal redundancy during many successive image frames. Firstly, an adaptively learning background
model is improved to discover successive similar image frames from the inputting video sequence. Then,
the dynamic texture model based on the singular value decomposition is adopted to distinguish foreground and
background element dynamics. Furthermore, a background discarding strategy based on visual motion coherence
is proposed to determine whether each image frame is streamed or not. To evaluate the trade-off performance
of the proposed method, it is tested on the CDW-2014 dataset, which can accurately detect the first foreground
frame when the moving objects of interest appear in the field of view in the most tested dynamic scenes, and
the misdetection rate of the undetected foreground frames is near to zero. Compared to the original stream, it
can reduce the occupied bandwidth a lot and its computational cost is relatively lower than the state-of-the-art
methods.

Key words: wireless visual sensor network (WVSN), temporal redundancy, foreground, background, dynamic
texture

中图分类号:

TP 391.4

LIU Min, DENG Bin, TANG Ying, WU Minghu, WANG Juan . Low-Cost Approach for Improving Video Transmission Efficiency in WVSN[J]. Journal of Shanghai Jiao Tong University(Science), 2020, 25(5): 600-605.

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Low-Cost Approach for Improving Video Transmission Efficiency in WVSN

Low-Cost Approach for Improving Video Transmission Efficiency in WVSN

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