scholarly journals Energy-Reduction Offloading Technique for Streaming Media Servers

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Yeongpil Cho ◽  
Oparin Mikhail ◽  
Yunheung Paek ◽  
Kwangman Ko

Recent growth in popularity of mobile video services raises a demand for one of the most popular and convenient methods of delivering multimedia data, video streaming. However, heterogeneity of currently existing mobile devices involves an issue of separate video transcoding for each type of mobile devices such as smartphones, tablet PCs, and smart TVs. As a result additional burden comes to media servers, which pretranscode multimedia data for number of clients. Regarding even higher increase of video data in the Internet in the future, the problem of media servers overload is impending. To struggle against the problem an offloading method is introduced in this paper. By the use of SorTube offloading framework video transcoding process is shifted from the centralized media server to the local offloading server. Thus, clients can receive personally customized video stream; meanwhile the overload of centralized servers is reduced.

2013 ◽  
Vol 756-759 ◽  
pp. 1748-1752 ◽  
Author(s):  
Hao Zeng ◽  
Yuan Fang

As the increasing applications of streaming media, using the streaming media server to provide high-quality video service for people becomes a trend. Streaming media server for video format requirements has become the bottleneck of its development, In this paper, we give a kind of transcoding method, through compiling FFmpeg source code under the windows OS, adding the x264 video codec and FAAC audio library, we can get ffmpeg.exe which can run directly, and we use MFC to design the the operation interface, which used to convert other video formats into stream media server supported formats.


2021 ◽  
Author(s):  
ElMehdi SAOUDI ◽  
Said Jai Andaloussi

Abstract With the rapid growth of the volume of video data and the development of multimedia technologies, it has become necessary to have the ability to accurately and quickly browse and search through information stored in large multimedia databases. For this purpose, content-based video retrieval ( CBVR ) has become an active area of research over the last decade. In this paper, We propose a content-based video retrieval system providing similar videos from a large multimedia data-set based on a query video. The approach uses vector motion-based signatures to describe the visual content and uses machine learning techniques to extract key-frames for rapid browsing and efficient video indexing. We have implemented the proposed approach on both, single machine and real-time distributed cluster to evaluate the real-time performance aspect, especially when the number and size of videos are large. Experiments are performed using various benchmark action and activity recognition data-sets and the results reveal the effectiveness of the proposed method in both accuracy and processing time compared to state-of-the-art methods.


Author(s):  
Ratchel Chikurunhe ◽  
Armstrong Kadyamatimba

The University of Venda(Univen) distributed tablets to students for facilitating and enhancing their studies. However, the provision of tablet PCs to students may not be a panacea for quality learning, especially to technological disadvantaged rural student  population. The aim of study was to investigate the use of digital mobile devices for enhancing teaching and learning at the Univen. The research questions focused on determining the current level of use of mobile devices, how they can be used effectively for teaching and learning. Mixed methods approach was applied with data being solicited from a convenient sample of students, lecturers and an IT technician. The results of the study indicated that many students and lecturers are active and have higher perceptions of mobile devices usage. The results of the study are to be used to explicate and advance the integration of the mobile devices for promoting learning and teaching accomplishments. The findings clearly showed that mobile devices have a positive impact on the academic experience. The results also indicate that there is a gradual acceptance of the Learners Management Systems (Blackboard) by both academics and students. The digital mobile devices are eventually enhancing teaching and learning at Univen.


2021 ◽  
Vol 2091 (1) ◽  
pp. 012053
Author(s):  
I M Azhmukhamedov ◽  
P I Tamkov ◽  
N D Svishchev ◽  
A V Rybakov

Abstract The work processes of the ORB-SLAM algorithm are presented. The results of experimental studies on temporal comparisons of the operation of the algorithm with different parameters and cameras are presented. The necessity of forming a visual odometry (VO) system as a local navigation of remote-controlled and autonomous underwater robots has been substantiated. The two most suitable odometry methods in the underwater environment are described, such as their advantages and disadvantages. The work processes of the ORB-SLAM algorithm are presented. The results of experimental studies on temporal comparisons of the operation of the algorithm with different parameters and cameras are presented. The procedure for preparing video data is described: processing a video stream, adjusting camera parameters for calibration. The experiments represent the testing of the ORB-SLAM3 algorithm on a sample of video filmed as part of the ecological monitoring of the Caspian shelf in 2020.


2019 ◽  
Vol 16 (2) ◽  
pp. 30
Author(s):  
Fakhrur Razi ◽  
Ipan Suandi ◽  
Fahmi Fahmi

The energy efficiency of mobile devices becomes very important, considering the development of mobile device technology starting to lead to smaller dimensions and with the higher processor speed of these mobile devices. Various studies have been conducted to grow energy-aware in hardware, middleware and application software. The step of optimizing energy consumption can be done at various layers of mobile communication network architecture. This study focuses on examining the energy consumption of mobile devices in the transport layer protocol, where the processor speed of the mobile devices used in this experiment is higher than the processor speed used in similar studies. The mobile device processor in this study has a speed of 1.5 GHz with 1 GHz RAM capacity. While in similar studies that have been carried out, mobile device processors have a speed of 369 MHz with a RAM capacity of less than 0.5 GHz. This study conducted an experiment in transmitting mobile data using TCP and UDP protocols. Because the video requires intensive delivery, so the video is the traffic that is being reviewed. Energy consumption is measured based on the amount of energy per transmission and the amount of energy per package. To complete the analysis, it can be seen the strengths and weaknesses of each protocol in the transport layer protocol, in this case the TCP and UDP protocols, also evaluated the network performance parameters such as delay and packet loss. The results showed that the UDP protocol consumes less energy and transmission delay compared to the TCP protocol. However, only about 22% of data packages can be transmitted. Therefore, the UDP protocol is only effective if the bit rate of data transmitted is close to the network speed. Conversely, despite consuming more energy and delay, the TCP protocol is able to transmit nearly 96% of data packets. On the other hand, when compared to mobile devices that have lower processor speeds, the mobile devices in this study consume more energy to transmit video data. However, transmission delay and packet loss can be suppressed. Thus, mobile devices that have higher processor speeds are able to optimize the energy consumed to improve transmission quality.Key words: energy consumption, processor, delay, packet loss, transport layer protocol


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