Fast Video Encoding Algorithm for the Internet of Things Environment Based on High Efficiency Video Coding
Video data for the Internet traffic is increasing, and video data transmission is important for consideration of real-time process in the Internet of Things (IoT). Thus, in the IoT environment, video applications will be valuable approach in networks of smart sensor devices. High Efficiency Video Co...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2015-11-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2015/146067 |
| _version_ | 1797719552537133056 |
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| author | Jong-Hyeok Lee Kyung-Soon Jang Byung-Gyu Kim Seyoon Jeong Jin Soo Choi |
| author_facet | Jong-Hyeok Lee Kyung-Soon Jang Byung-Gyu Kim Seyoon Jeong Jin Soo Choi |
| author_sort | Jong-Hyeok Lee |
| collection | DOAJ |
| description | Video data for the Internet traffic is increasing, and video data transmission is important for consideration of real-time process in the Internet of Things (IoT). Thus, in the IoT environment, video applications will be valuable approach in networks of smart sensor devices. High Efficiency Video Coding (HEVC) has been developed by the Joint Collaborative Team on Video Coding (JCT-VC) as a new generation video coding standard. Recently, HEVC includes range extensions (RExt), scalable coding extensions, and multiview extensions. HEVC RExt provides high resolution video with a high bit-depth and an abundance of color formats. In this paper, a fast intraprediction unit decision method is proposed to reduce the computational complexity of the HEVC RExt encoder. To design intramode decision algorithm, Local Binary Pattern (LBP) of the current prediction unit is used as texture feature. Experimental results show that the encoding complexity can be reduced by up to 12.35% on average in the AI-Main profile configuration with only a small bit-rate increment and a PSNR decrement, compared with HEVC test model (HM) 12.0-RExt4.0 reference software. |
| first_indexed | 2024-03-12T09:07:37Z |
| format | Article |
| id | doaj.art-2a722b34db5245889404e532b8fa1cc1 |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T09:07:37Z |
| publishDate | 2015-11-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-2a722b34db5245889404e532b8fa1cc12023-09-02T15:13:33ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772015-11-011110.1155/2015/146067146067Fast Video Encoding Algorithm for the Internet of Things Environment Based on High Efficiency Video CodingJong-Hyeok Lee0Kyung-Soon Jang1Byung-Gyu Kim2Seyoon Jeong3Jin Soo Choi4 Department of Computer Engineering, Sun Moon University, 100 Kalsan-ri, Tangjeong-myeon, Asan, Chungnam 305-350, Republic of Korea Department of Computer Engineering, Sun Moon University, 100 Kalsan-ri, Tangjeong-myeon, Asan, Chungnam 305-350, Republic of Korea Department of Computer Engineering, Sun Moon University, 100 Kalsan-ri, Tangjeong-myeon, Asan, Chungnam 305-350, Republic of Korea Realistic Media Research Team, ETRI, 218 Gajeong-ro, Yuseong-gu, Daejeon 34129, Republic of Korea Realistic Media Research Team, ETRI, 218 Gajeong-ro, Yuseong-gu, Daejeon 34129, Republic of KoreaVideo data for the Internet traffic is increasing, and video data transmission is important for consideration of real-time process in the Internet of Things (IoT). Thus, in the IoT environment, video applications will be valuable approach in networks of smart sensor devices. High Efficiency Video Coding (HEVC) has been developed by the Joint Collaborative Team on Video Coding (JCT-VC) as a new generation video coding standard. Recently, HEVC includes range extensions (RExt), scalable coding extensions, and multiview extensions. HEVC RExt provides high resolution video with a high bit-depth and an abundance of color formats. In this paper, a fast intraprediction unit decision method is proposed to reduce the computational complexity of the HEVC RExt encoder. To design intramode decision algorithm, Local Binary Pattern (LBP) of the current prediction unit is used as texture feature. Experimental results show that the encoding complexity can be reduced by up to 12.35% on average in the AI-Main profile configuration with only a small bit-rate increment and a PSNR decrement, compared with HEVC test model (HM) 12.0-RExt4.0 reference software.https://doi.org/10.1155/2015/146067 |
| spellingShingle | Jong-Hyeok Lee Kyung-Soon Jang Byung-Gyu Kim Seyoon Jeong Jin Soo Choi Fast Video Encoding Algorithm for the Internet of Things Environment Based on High Efficiency Video Coding International Journal of Distributed Sensor Networks |
| title | Fast Video Encoding Algorithm for the Internet of Things Environment Based on High Efficiency Video Coding |
| title_full | Fast Video Encoding Algorithm for the Internet of Things Environment Based on High Efficiency Video Coding |
| title_fullStr | Fast Video Encoding Algorithm for the Internet of Things Environment Based on High Efficiency Video Coding |
| title_full_unstemmed | Fast Video Encoding Algorithm for the Internet of Things Environment Based on High Efficiency Video Coding |
| title_short | Fast Video Encoding Algorithm for the Internet of Things Environment Based on High Efficiency Video Coding |
| title_sort | fast video encoding algorithm for the internet of things environment based on high efficiency video coding |
| url | https://doi.org/10.1155/2015/146067 |
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