scholarly journals Fast Video Encoding Algorithm for the Internet of Things Environment Based on High Efficiency Video Coding

2015 ◽  
Vol 11 (11) ◽  
pp. 146067 ◽  
Author(s):  
Jong-Hyeok Lee ◽  
Kyung-Soon Jang ◽  
Byung-Gyu Kim ◽  
Seyoon Jeong ◽  
Jin Soo Choi
Keyword(s):  
Internet Of Things ◽  
Video Coding ◽  
High Efficiency ◽  
Video Encoding ◽  
The Internet ◽  
High Efficiency Video Coding ◽  
Internet Of Things Environment ◽  
The Internet Of Things

scholarly journals Fault Diagnosis Method for a Mine Hoist in the Internet of Things Environment

Sensors ◽  
2018 ◽  
Vol 18 (6) ◽  
pp. 1920 ◽  
Author(s):  
Juanli Li ◽  
Jiacheng Xie ◽  
Zhaojian Yang ◽  
Junjie Li
Keyword(s):  
Fault Diagnosis ◽  
Internet Of Things ◽  
The Internet ◽  
Internet Of Things Environment ◽  
Diagnosis Method ◽  
Mine Hoist ◽  
The Internet Of Things

scholarly journals A flexible encryption technique for the internet of things environment

2020 ◽  
Vol 106 ◽  
pp. 102240
Author(s):  
Saci Medileh ◽  
Abdelkader Laouid ◽  
El Moatez Billah Nagoudi ◽  
Reinhardt Euler ◽  
Ahcène Bounceur ◽  
...  
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Internet Of Things Environment ◽  
The Internet Of Things

scholarly journals Analysis of Mutual Couple Effect of UHF RFID Antenna for the Internet of Things Environment

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 81451-81465 ◽  
Author(s):  
Guolong Shi ◽  
Yigang He ◽  
Baiqiang Yin ◽  
Lei Zuo ◽  
Peiliang She ◽  
...  
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Uhf Rfid ◽  
Internet Of Things Environment ◽  
Couple Effect ◽  
The Internet Of Things

scholarly journals H.265 Intra-Picture Prediction Acceleration using Low Complexity Model

2019 ◽  
Vol 8 (11) ◽  
pp. 2939-2944
Keyword(s):  
Video Coding ◽  
High Efficiency ◽  
Low Complexity ◽  
Video Encoding ◽  
High Efficiency Video Coding ◽  
Tree Model ◽  
Time Saving ◽  
Applied Machine Learning ◽  
Additional Burden ◽  
Increasing Demand

H.265 also called High Efficiency Video Coding is the new futuristic international standard proposed by Joint collaboration Team on Video Coding and released in 2013 in the view of constantly increasing demand of video applications. This new standard reduces the bitrate to half as compared to its predecessor H.264 at the expense of huge amount of computational burden on the encoder. In the proposed work we focus on intraprediction phase of video encoding where 33 new angular modes are introduced in addition to DC and Planar mode in order to achieve high quality videos at higher resolutions. We have proposed the use of applied machine learning to HEVC intra prediction to accelerate angular mode decision process. The features used are also low complexity features with minimal computation so as to avoid any additional burden on the encoder. The Decision tree model built is simple yet efficient which is the requirement of the complexity reduction scenario. The proposed method achieves substantial average encoding time saving of 86.59%, with QP values 4,22,27,32 respectively with minimal loss of 0.033 of PSNR and 0.0023 loss in SSIM which makes it suitable for acceptance of High Efficiency Video coding in real time applications

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