Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/601164
Title: Can Gray Code Improve the Performance of Distributed Video Coding?
Authors: Juan Song;Peiyi Shen;Keyan Wang;Liang Zhang;Houbing Song
subject: Gray code|performance evaluation|robustness to wrongly decoded bits|log-likelihood ratios|Distributed video coding
Year: 2016
Publisher: IEEE
Abstract: Gray code application in distributed video coding (DVC) has been studied in the literature and it was claimed that DVC performance could be improved by Gray code because of stronger bitplane correlation presented. However, two factors are ignored in the literature, which renders the aforementioned claim untenable. These factors are log-likelihood ratio (LLR) computation and robustness to wrongly decoded bits, which may influence the DVC performance when different bit representations are used. This paper comprehensively evaluates the performances of Gray code in different DVC schemes, such as feedback channel-based transform domain Wyner-Ziv (FC_TDWZ) video coding, parallel pixel domain Wyner-Ziv video coding, and encoder rate control-based TDWZ (ERC_TDWZ). Experimental results suggest that the Gray code does not always improve the DVC performance, although stronger bitplane correlation is presented. In particular, the performance of FC_TDWZ with Gray code is exactly the same as that with natural bit code, because the same magnitudes of LLRs are obtained. Moreover, the reconstruction quality of the WZ frames in ERC_TDWZ is improved by Gray code not because of stronger bitplane correlation but because Gray code is more robust to wrongly decoded bits induced by rate underestimation. However, these RD gains are quite limited when the rate is controlled accurately at the encoder.
Description: 
URI: http://localhost/handle/Hannan/178613
http://localhost/handle/Hannan/601164
ISSN: 2169-3536
volume: 4
Appears in Collections:2016

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Title: Can Gray Code Improve the Performance of Distributed Video Coding?
Authors: Juan Song;Peiyi Shen;Keyan Wang;Liang Zhang;Houbing Song
subject: Gray code|performance evaluation|robustness to wrongly decoded bits|log-likelihood ratios|Distributed video coding
Year: 2016
Publisher: IEEE
Abstract: Gray code application in distributed video coding (DVC) has been studied in the literature and it was claimed that DVC performance could be improved by Gray code because of stronger bitplane correlation presented. However, two factors are ignored in the literature, which renders the aforementioned claim untenable. These factors are log-likelihood ratio (LLR) computation and robustness to wrongly decoded bits, which may influence the DVC performance when different bit representations are used. This paper comprehensively evaluates the performances of Gray code in different DVC schemes, such as feedback channel-based transform domain Wyner-Ziv (FC_TDWZ) video coding, parallel pixel domain Wyner-Ziv video coding, and encoder rate control-based TDWZ (ERC_TDWZ). Experimental results suggest that the Gray code does not always improve the DVC performance, although stronger bitplane correlation is presented. In particular, the performance of FC_TDWZ with Gray code is exactly the same as that with natural bit code, because the same magnitudes of LLRs are obtained. Moreover, the reconstruction quality of the WZ frames in ERC_TDWZ is improved by Gray code not because of stronger bitplane correlation but because Gray code is more robust to wrongly decoded bits induced by rate underestimation. However, these RD gains are quite limited when the rate is controlled accurately at the encoder.
Description: 
URI: http://localhost/handle/Hannan/178613
http://localhost/handle/Hannan/601164
ISSN: 2169-3536
volume: 4
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7556367.pdf16.37 MBAdobe PDFThumbnail
Preview File
Title: Can Gray Code Improve the Performance of Distributed Video Coding?
Authors: Juan Song;Peiyi Shen;Keyan Wang;Liang Zhang;Houbing Song
subject: Gray code|performance evaluation|robustness to wrongly decoded bits|log-likelihood ratios|Distributed video coding
Year: 2016
Publisher: IEEE
Abstract: Gray code application in distributed video coding (DVC) has been studied in the literature and it was claimed that DVC performance could be improved by Gray code because of stronger bitplane correlation presented. However, two factors are ignored in the literature, which renders the aforementioned claim untenable. These factors are log-likelihood ratio (LLR) computation and robustness to wrongly decoded bits, which may influence the DVC performance when different bit representations are used. This paper comprehensively evaluates the performances of Gray code in different DVC schemes, such as feedback channel-based transform domain Wyner-Ziv (FC_TDWZ) video coding, parallel pixel domain Wyner-Ziv video coding, and encoder rate control-based TDWZ (ERC_TDWZ). Experimental results suggest that the Gray code does not always improve the DVC performance, although stronger bitplane correlation is presented. In particular, the performance of FC_TDWZ with Gray code is exactly the same as that with natural bit code, because the same magnitudes of LLRs are obtained. Moreover, the reconstruction quality of the WZ frames in ERC_TDWZ is improved by Gray code not because of stronger bitplane correlation but because Gray code is more robust to wrongly decoded bits induced by rate underestimation. However, these RD gains are quite limited when the rate is controlled accurately at the encoder.
Description: 
URI: http://localhost/handle/Hannan/178613
http://localhost/handle/Hannan/601164
ISSN: 2169-3536
volume: 4
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7556367.pdf16.37 MBAdobe PDFThumbnail
Preview File