Optimal HEVC Configuration for Wireless Video Communication Under Energy Constraints
High Efficiency Video Coding (HEVC) provides a doubling in coding efficiency compared with the H.264/AVC at the expense of increased computational complexity. However, mobile devices that perform video encoding and communication over wireless networks have limited energy supply. A video encoding sys...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2018-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8552344/ |
| _version_ | 1818644804976771072 |
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| author | Milad Abdollahzadeh Hadi Seyedarabi Javad Musevi Niya Ngai-Man Cheung |
| author_facet | Milad Abdollahzadeh Hadi Seyedarabi Javad Musevi Niya Ngai-Man Cheung |
| author_sort | Milad Abdollahzadeh |
| collection | DOAJ |
| description | High Efficiency Video Coding (HEVC) provides a doubling in coding efficiency compared with the H.264/AVC at the expense of increased computational complexity. However, mobile devices that perform video encoding and communication over wireless networks have limited energy supply. A video encoding system which has the ability to adjust its computational complexity and power consumption could be used to prolong the lifetime of these devices. In this paper, we develop a framework, which selects the optimal HEVC encoding configuration in order to optimize the performance of the wireless video communication system under energy constraints. More specifically, in this paper, we develop an analytic HEVC encoder behavior model based on the extensive analysis of key HEVC encoding tools. We use the developed model for the performance optimization of the HEVC encoder under energy constraints. We propose an adaptive algorithm to estimate the HEVC encoder model parameters and perform online encoder coding configuration optimization. We show that using the proposed framework, the video encoder is able to select appropriate coding tools to automatically adjust its coding efficiency and complexity to match the available power budget with the maximum possible video quality. The proposed HEVC encoder model provides a guideline for optimized tool selection in the energy constrained wireless video communication. |
| first_indexed | 2024-12-17T00:20:41Z |
| format | Article |
| id | doaj.art-45e30d99a3f14cd38e114b0f3e7c97be |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-17T00:20:41Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-45e30d99a3f14cd38e114b0f3e7c97be2022-12-21T22:10:34ZengIEEEIEEE Access2169-35362018-01-016724797249310.1109/ACCESS.2018.28818338552344Optimal HEVC Configuration for Wireless Video Communication Under Energy ConstraintsMilad Abdollahzadeh0https://orcid.org/0000-0003-4011-4670Hadi Seyedarabi1https://orcid.org/0000-0001-6652-2467Javad Musevi Niya2Ngai-Man Cheung3Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, IranFaculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, IranFaculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, IranInformation Systems Technology and Design, Singapore University of Technology and Design, SingaporeHigh Efficiency Video Coding (HEVC) provides a doubling in coding efficiency compared with the H.264/AVC at the expense of increased computational complexity. However, mobile devices that perform video encoding and communication over wireless networks have limited energy supply. A video encoding system which has the ability to adjust its computational complexity and power consumption could be used to prolong the lifetime of these devices. In this paper, we develop a framework, which selects the optimal HEVC encoding configuration in order to optimize the performance of the wireless video communication system under energy constraints. More specifically, in this paper, we develop an analytic HEVC encoder behavior model based on the extensive analysis of key HEVC encoding tools. We use the developed model for the performance optimization of the HEVC encoder under energy constraints. We propose an adaptive algorithm to estimate the HEVC encoder model parameters and perform online encoder coding configuration optimization. We show that using the proposed framework, the video encoder is able to select appropriate coding tools to automatically adjust its coding efficiency and complexity to match the available power budget with the maximum possible video quality. The proposed HEVC encoder model provides a guideline for optimized tool selection in the energy constrained wireless video communication.https://ieeexplore.ieee.org/document/8552344/High Efficiency Video Coding (HEVC)power consumptionresource allocationwireless video communication |
| spellingShingle | Milad Abdollahzadeh Hadi Seyedarabi Javad Musevi Niya Ngai-Man Cheung Optimal HEVC Configuration for Wireless Video Communication Under Energy Constraints IEEE Access High Efficiency Video Coding (HEVC) power consumption resource allocation wireless video communication |
| title | Optimal HEVC Configuration for Wireless Video Communication Under Energy Constraints |
| title_full | Optimal HEVC Configuration for Wireless Video Communication Under Energy Constraints |
| title_fullStr | Optimal HEVC Configuration for Wireless Video Communication Under Energy Constraints |
| title_full_unstemmed | Optimal HEVC Configuration for Wireless Video Communication Under Energy Constraints |
| title_short | Optimal HEVC Configuration for Wireless Video Communication Under Energy Constraints |
| title_sort | optimal hevc configuration for wireless video communication under energy constraints |
| topic | High Efficiency Video Coding (HEVC) power consumption resource allocation wireless video communication |
| url | https://ieeexplore.ieee.org/document/8552344/ |
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