The Performance Measurement of Video Data Streaming of Webcams for Home Networking

2006 ◽  
Author(s):  
Po-An Chen Ying-Wen Bai
Keyword(s):  
Performance Measurement ◽  
Video Data ◽  
Data Streaming ◽  
Home Networking

A Method to Estimate the Multimedia Communication Bands Based upon Multi-Order Markov Model

2007 ◽  
Vol 11 (6) ◽  
pp. 655-661
Author(s):  
Tetsuya Kojima ◽  
◽  
Lkhamsuren Enkhtur ◽  
Akiko Fujiwara ◽  
Masahiro Aono ◽  
...  
Keyword(s):  
Markov Model ◽  
Multimedia Communication ◽  
Streaming Video ◽  
Video Data ◽  
Data Streaming ◽  
Quantization Method ◽  
Future Studies ◽  
Transmission Rates ◽  
Optimal Quantization ◽  
Total Data

Surplus bands inevitably occur in the multimedia communication bands when VBR encoding is used for data streaming. These bands can be used efficiently by transmitting the other data such as a kind of additive static contents at the same time. However, there are some delays for adding the data, so that the transmission rates of the total data frequently exceed the maximum communication band. This is because each surplus bandwidth is calculated from the formerly observed data. We have proposed a method to estimate the surplus bandwidth by using the multi-order Markov model together with the quantization of the bandwidth. In this paper, we investigate the optimal quantization method for a given streaming video data. In addition, the effectiveness of the proposed method is evaluated under the optimal quantization settings. Discussions for some problems in future studies are also included.

scholarly journals Energy-Efficient Unmanned Aerial Vehicle (UAV) Surveillance Utilizing Artificial Intelligence (AI)

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Hai T. Do ◽  
Linh H. Truong ◽  
Minh T. Nguyen ◽  
Chen-Fu Chien ◽  
Hoang T. Tran ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Data Processing ◽  
Moving Objects ◽  
High Energy ◽  
Video Data ◽  
Data Streaming ◽  
Huge Data ◽  
Aerial Vehicle ◽  
Data Processing Center ◽  
Save Energy

Recently, unmanned aerial vehicles (UAVs) enhance connectivity and accessibility for civilian and military applications. A group of UAVs with on-board cameras usually monitors or collects information about designated areas. The UAVs can build a distributed network to share/exchange and to process collected sensing data before sending to a data processing center. A huge data transmission among them may cause latency and high-energy consumption. This paper deploys artificial intelligent (AI) techniques to process the video data streaming among the UAVs. Thus, each distributed UAV only needs to send a certain required information to each other. Each UAV processes data utilizing AI and only sends the data that matters to the others. The UAVs, formed as a connected network, communicate within a short communication range and share their own data to each other. Convolution neural network (CNN) technique extracts feature from images automatically that the UAVs only send the moving objects instead of the whole frames. This significantly reduces redundant information for either each UAV or the whole network and saves a huge energy consumption for the network. The UAVs can also save energy for their motion in the sensing field. In addition, a flocking control algorithm is deployed to lead the group of UAVs in the working fields and to avoid obstacles if needed. Simulation and experimental results are provided to verify the proposed algorithms in either AI-based data processing or controlling the UAVs. The results show promising points to save energy for the networks.

Internet Video Data Streaming

2017 ◽  
Author(s):  
Ye Tian ◽  
Min Zhao ◽  
Xinming Zhang
Keyword(s):  
Video Data ◽  
Data Streaming ◽  
Internet Video

VANETs Multipath Video Data Streaming Considering Road Features

2018 ◽  
Vol 10 (6) ◽  
Author(s):  
Ahmed Aliyu ◽  
◽  
Abdul Hanan Abdullah ◽  
Avon Budiyono ◽  
Raja Zahilah Raja Mohd Radzi ◽  
...  
Keyword(s):  
Video Data ◽  
Data Streaming

scholarly journals Providing Memory Management Abstraction for Self-Reconfigurable Video Processing Platforms

2009 ◽  
Vol 2009 ◽  
pp. 1-15 ◽  
Author(s):  
Kurt Franz Ackermann ◽  
Burghard Hoffmann ◽  
Leandro Soares Indrusiak ◽  
Manfred Glesner
Keyword(s):  
Video Processing ◽  
Memory Management ◽  
Video Data ◽  
Data Streaming ◽  
Dynamically Reconfigurable ◽  
Uniform Interface ◽  
Reconfigurable Processing ◽  
Sdram Controller ◽  
Place And Route ◽  
Multiple Clients

This paper presents a concept for an SDRAM controller targeting video processing platforms with dynamically reconfigurable processing units (RPUs). A priority-arbitration algorithm provides the required QoS and supports high bit-rate data streaming of multiple clients. Conforming to common video data structures the controller organizes the memory in partitions, frames, lines, and pixels. The raised level of abstraction drastically reduces the complexity of clients' addressing logic. Its uniform interface structure facilitates instantiations in systems with various clients. In addition to SDRAM controllers for regular applications, special demands of reconfigurable platforms have to be satisfied. The aim of this work is to minimize the number of required bus macros leading to relaxed place and route constraints and reducing the number of critical design paths. A suitable interface protocol is presented, and fundamental implementation issues are outlined.

Performance measurement for mobile data streaming

2010 ◽  
Vol 32 (3) ◽  
pp. 73-85 ◽  
Author(s):  
Florin Sandu ◽  
Iuliu Szekely ◽  
Dan Robu ◽  
Alexandru Balica
Keyword(s):  
Performance Measurement ◽  
Data Streaming ◽  
Mobile Data
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