A Rate-Distortion Optimized Coding Method for Region of Interest in Scalable Video Coding
The support for region of interest (ROI) browsing, which allows dropping background part of video bitstreams, is a desirable feature for video applications. With the help of the slice group technique provided by H.264/SVC, rectangular ROI areas can be encoded into separate ROI slices. Additionally,...
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2015-01-01
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Series: | Advances in Multimedia |
Online Access: | http://dx.doi.org/10.1155/2015/489089 |
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author | Hongtao Wang Dong Zhang Houqiang Li |
author_facet | Hongtao Wang Dong Zhang Houqiang Li |
author_sort | Hongtao Wang |
collection | DOAJ |
description | The support for region of interest (ROI) browsing, which allows dropping background part of video bitstreams, is a desirable feature for video applications. With the help of the slice group technique
provided by H.264/SVC, rectangular ROI areas can be encoded into separate ROI slices. Additionally, by imposing certain constraints on motion estimation, ROI part of the bitstream can be decoded
without background slices of the same layer. However, due to the additional spatial and temporal constraints applied to the encoder, overall coding efficiency would be significantly decreased. In this paper, a rate-distortion optimized (RDO) encoding scheme is proposed to improve the coding efficiency of ROI slices. When background slices are discarded, the proposed method uses base layer information to generate the prediction
signal of the enhancement layer. Thus, the temporal constraints can be loosened during the encoding process. To do it in this way, the possible mismatch between generated reference frames and
original ones is also considered during rate-distortion optimization so that a reasonable trade-off between coding efficiency and decoding drift can be made. Besides, a new Lagrange multiplier derivation method is developed for further coding performance improvement. Experimental results demonstrate that the proposed method achieves significant bitrate saving compared to existing methods. |
format | Article |
id | doaj-art-ead5eb12aa984427bc6a2f75048323ea |
institution | Kabale University |
issn | 1687-5680 1687-5699 |
language | English |
publishDate | 2015-01-01 |
publisher | Wiley |
record_format | Article |
series | Advances in Multimedia |
spelling | doaj-art-ead5eb12aa984427bc6a2f75048323ea2025-02-03T01:27:45ZengWileyAdvances in Multimedia1687-56801687-56992015-01-01201510.1155/2015/489089489089A Rate-Distortion Optimized Coding Method for Region of Interest in Scalable Video CodingHongtao Wang0Dong Zhang1Houqiang Li2Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui 230027, ChinaDepartment of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui 230027, ChinaDepartment of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui 230027, ChinaThe support for region of interest (ROI) browsing, which allows dropping background part of video bitstreams, is a desirable feature for video applications. With the help of the slice group technique provided by H.264/SVC, rectangular ROI areas can be encoded into separate ROI slices. Additionally, by imposing certain constraints on motion estimation, ROI part of the bitstream can be decoded without background slices of the same layer. However, due to the additional spatial and temporal constraints applied to the encoder, overall coding efficiency would be significantly decreased. In this paper, a rate-distortion optimized (RDO) encoding scheme is proposed to improve the coding efficiency of ROI slices. When background slices are discarded, the proposed method uses base layer information to generate the prediction signal of the enhancement layer. Thus, the temporal constraints can be loosened during the encoding process. To do it in this way, the possible mismatch between generated reference frames and original ones is also considered during rate-distortion optimization so that a reasonable trade-off between coding efficiency and decoding drift can be made. Besides, a new Lagrange multiplier derivation method is developed for further coding performance improvement. Experimental results demonstrate that the proposed method achieves significant bitrate saving compared to existing methods.http://dx.doi.org/10.1155/2015/489089 |
spellingShingle | Hongtao Wang Dong Zhang Houqiang Li A Rate-Distortion Optimized Coding Method for Region of Interest in Scalable Video Coding Advances in Multimedia |
title | A Rate-Distortion Optimized Coding Method for Region of Interest in Scalable Video Coding |
title_full | A Rate-Distortion Optimized Coding Method for Region of Interest in Scalable Video Coding |
title_fullStr | A Rate-Distortion Optimized Coding Method for Region of Interest in Scalable Video Coding |
title_full_unstemmed | A Rate-Distortion Optimized Coding Method for Region of Interest in Scalable Video Coding |
title_short | A Rate-Distortion Optimized Coding Method for Region of Interest in Scalable Video Coding |
title_sort | rate distortion optimized coding method for region of interest in scalable video coding |
url | http://dx.doi.org/10.1155/2015/489089 |
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