https://www.researchgate.net/post/How_to_find_similarity_index2https://www.researchgate.net/post/How_to_find_similarity_index2https://www.researchgate.net/post/How_to_find_similarity_index2https://www.researchgate.net/post/How_to_find_similarity_index2https://www.researchgate.net/post/How_to_find_similarity_index2https://www.researchgate.net/post/How_to_find_similarity_index2https://www.researchgate.net/post/How_to_find_similarity_index2https://www.researchgate.net/post/How_to_find_similarity_index2https://www.researchgate.net/post/How_to_find_similarity_index2https://www.researchgate.net/post/How_to_find_similarity_index2https://www.researchgate.net/post/How_to_find_similarity_index2https://www.researchgate.net/post/How_to_find_similarity_index2https://www.researchgate.net/post/How_to_find_similarity_index2https://www.researchgate.net/post/How_to_find_similarity_index2https://www.researchgate.net/post/How_to_find_similarity_index2https://www.researchgate.net/post/How_to_find_similarity_index2https://www.researchgate.net/post/How_to_find_similarity_index2https://www.researchgate.net/post/How_to_find_similarity_index2https://www.researchgate.net/post/How_to_find_similarity_index2https://www.researchgate.net/post/How_to_find_similarity_index2https://www.researchgate.net/post/How_to_find_similarity_index2 asdfaf Dear Editor-in-Chief/Editor,
It is a resubmission of TCSVT-02045-2018.
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Paper:TCSVT-02045-2018 No-Reference Distortion Estimation for Wyner-Ziv
Distributed Video Coding
Dear Prof. Jiang:
I am writing to you concerning the above referenced manuscript, which you submitted to
the IEEE Transactions on Circuits and Systems for Video Technology.
This manuscript has exceeded the similarity threshold of 29% with a total of 58%. This
administrative reject is to give the authors a chance to revise and resubmit the manuscript.
Therefore, the manuscript is being rejected without further review and we expect the authors will
resubmit the revised manuscript soon for review.
Thank you for considering the IEEE Transactions on Circuits and Systems for Video Technology for
publication of your work.
Sincerely,
Shipeng Li
Editor-in-Chief, IEEE Transactions on Circuits and Systems for Video Technology
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Our response:
We would like to submit the enclosed manuscript entitled “No-Reference Distortion Estimation for
Wyner-Ziv Distributed Video Coding”, which we wish to be considered for publication in IEEE
Transactions on Circuits and Systems for Video Technology.
Distributed video coding (DVC), which helps moving the computational burden from the encoder
to the decoder, has become an effective source coding scheme. One typical DVC paradigm is Wyner-
Ziv video coding, designed for many promising video applications over wireless networks, e.g.
wireless video sensor networks and wireless video surveillance. Note that one practical issue is how
to provide an efficient way to assess the quality of reconstructed videos accurately. Due to absence
of original frames at the decoder, how to estimate the reconstructed quality of Wyner-Ziv video
coding remains a challenging task. In this paper, we propose a no-reference method for estimating
the distortion of Wyner-Ziv video coding, in which the distortions caused by the quantization and
simple reconstruction are measured with a metric of mean squared error (MSE). Specifically, the
distortion of an encoded Wyner-Ziv frame is estimated statistically by using only the information
available at the decoder, i.e. the coefficients of side information and the decoded coefficients from
a decoder of low density parity code (LDPC). To achieve the distortion estimation, we develop an
algorithm for estimating probability distribution parameters to increase the precision of distortion
estimation. Besides, we extend the distortion estimation method and present another distortion
estimation approach for Wyner-Ziv coding, in which the reconstruction utilizing a principle of
minimum mean squared error (MMSE) is employed. Extensive experiments have been performed
to evaluate the performance of the presented video distortion estimation methods. Without reliance
on the original Wyner-Ziv frames at the decoder makes our proposed approaches suitable for realtime
video application scenarios.
Some contents in this paper have been presented at the 24th international conference on multimedia
modeling (MMM 2018). And here we emphasize the differences between the conference paper and
this paper. We only proposed a source distortion estimation method for Wyner-Ziv video coding
based on the simple reconstruction in the conference paper. While in this paper, we extend the
estimation method based on the simple reconstruction to the video coding scheme, in which a
reconstruction module of the minimum mean squared error (MMSE) is employed. We further
present another distortion estimation approach of Wyner-Ziv video coding based on the MMSE
reconstruction. We also verify the performance of the distortion estimation approach for Wyner-Ziv
video coding based on MMSE reconstruction through extensive experiments.
We believe this paper will be of particular interest to the readers of your journal. Thanks very much
for your attention to our paper?
Sincerely yours?
Zhenhua Tang, Sunguo Huang, and Hongbo Jiang
Zhenhua Tang
School of Computer and Electronic Information, Guangxi University
Nanning 530004, Guangxi, China
e-mail? [email protected]
Sunguo Huang
School of Computer and Electronic Information, Guangxi University
Nanning 530004, Guangxi, China
[email protected]
Hongbo Jiang (Corresponding author)
College of Computer Science and Electronic Engineering
Hunan University
Changsha 410012, China
[email protected]