Energy Efficient Image/Video Data Transmission on Commercial Multi-Core Processors
In transmitting image/video data over Video Sensor Networks (VSNs), energy consumption must be minimized while maintaining high image/video quality. Although image/video compression is well known for its efficiency and usefulness in VSNs, the excessive costs associated with encoding computation and...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2012-11-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/12/11/14647 |
| _version_ | 1817990079882199040 |
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| author | Daihee Park Yongwha Chung Heegon Kim Sungju Lee |
| author_facet | Daihee Park Yongwha Chung Heegon Kim Sungju Lee |
| author_sort | Daihee Park |
| collection | DOAJ |
| description | In transmitting image/video data over Video Sensor Networks (VSNs), energy consumption must be minimized while maintaining high image/video quality. Although image/video compression is well known for its efficiency and usefulness in VSNs, the excessive costs associated with encoding computation and complexity still hinder its adoption for practical use. However, it is anticipated that high-performance handheld multi-core devices will be used as VSN processing nodes in the near future. In this paper, we propose a way to improve the energy efficiency of image and video compression with multi-core processors while maintaining the image/video quality. We improve the compression efficiency at the algorithmic level or derive the optimal parameters for the combination of a machine and compression based on the tradeoff between the energy consumption and the image/video quality. Based on experimental results, we confirm that the proposed approach can improve the energy efficiency of the straightforward approach by a factor of 2~5 without compromising image/video quality. |
| first_indexed | 2024-04-14T00:54:51Z |
| format | Article |
| id | doaj.art-ab85d322469748028000124fca7603e1 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T00:54:51Z |
| publishDate | 2012-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-ab85d322469748028000124fca7603e12022-12-22T02:21:40ZengMDPI AGSensors1424-82202012-11-011211146471467010.3390/s121114647Energy Efficient Image/Video Data Transmission on Commercial Multi-Core ProcessorsDaihee ParkYongwha ChungHeegon KimSungju LeeIn transmitting image/video data over Video Sensor Networks (VSNs), energy consumption must be minimized while maintaining high image/video quality. Although image/video compression is well known for its efficiency and usefulness in VSNs, the excessive costs associated with encoding computation and complexity still hinder its adoption for practical use. However, it is anticipated that high-performance handheld multi-core devices will be used as VSN processing nodes in the near future. In this paper, we propose a way to improve the energy efficiency of image and video compression with multi-core processors while maintaining the image/video quality. We improve the compression efficiency at the algorithmic level or derive the optimal parameters for the combination of a machine and compression based on the tradeoff between the energy consumption and the image/video quality. Based on experimental results, we confirm that the proposed approach can improve the energy efficiency of the straightforward approach by a factor of 2~5 without compromising image/video quality.http://www.mdpi.com/1424-8220/12/11/14647video sensor networkenergy efficiencymulti-core processors |
| spellingShingle | Daihee Park Yongwha Chung Heegon Kim Sungju Lee Energy Efficient Image/Video Data Transmission on Commercial Multi-Core Processors Sensors video sensor network energy efficiency multi-core processors |
| title | Energy Efficient Image/Video Data Transmission on Commercial Multi-Core Processors |
| title_full | Energy Efficient Image/Video Data Transmission on Commercial Multi-Core Processors |
| title_fullStr | Energy Efficient Image/Video Data Transmission on Commercial Multi-Core Processors |
| title_full_unstemmed | Energy Efficient Image/Video Data Transmission on Commercial Multi-Core Processors |
| title_short | Energy Efficient Image/Video Data Transmission on Commercial Multi-Core Processors |
| title_sort | energy efficient image video data transmission on commercial multi core processors |
| topic | video sensor network energy efficiency multi-core processors |
| url | http://www.mdpi.com/1424-8220/12/11/14647 |
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