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 IMPLEMENTATION OF ROBUST ARCHITECTURE FOR ERROR DETECTION AND DATA RECOVERY IN MOTION ESTIMATION ON FPGA

2013 ◽  
pp. 29-33
Author(s):  
V.V.. S.V.S RAMACHANDRAM ◽  
DANIEL N. FINNEY
Keyword(s):  
Motion Estimation ◽  
Video Coding ◽  
Video Compression ◽  
Error Detection ◽  
Video Data ◽  
Data Recovery ◽  
Concurrent Error Detection ◽  
Coding Systems ◽  
Wide Range ◽  
Total Data

Video compression is necessary in a wide range of applications to reduce the total data amount required for transmitting or storing video data. Among the coding systems, Motion Estimation is of priority concern in exploiting the temporal redundancy between successive frames, yet also the most time consuming aspect of coding. This paper presents an error detection and data recovery (EDDR) design, based on the residue-and quotient (RQ) code that is embed into ME for video coding testing applications. Based on the Concurrent Error Detection (CED) concept, this work develops a robust EDDR architecture based on the RQ code to detect errors and recovery data in PEs of a ME and, in doing so, further guarantee the excellent reliability for video coding applications. We synthesized this design using Xilinx tool.

scholarly journals DNA Computing Based Encryption Algorithm for Wireless Multimedia Communication System

2020 ◽  
Vol 9 (3) ◽  
pp. 1441-1445
Keyword(s):  
Communication System ◽  
Dna Computing ◽  
Multimedia Communication ◽  
Data Encryption ◽  
Video Data ◽  
Multimedia Data ◽  
Security Level ◽  
Wireless Multimedia ◽  
Symmetric Key ◽  
Cryptographic Techniques

Transmission of digital images for wireless multimedia communication system requires reliable security in storage which is a challenging task. So many works are carried out to develop and implement the cryptographic techniques for a wireless multimedia communication system. A traditional symmetric key cryptographic algorithm such as Light weight Data Encryption Standard cipher, Advanced Encryption Standard cipher, Triple-DES, Twofish, Blowfish, RC5 etc played a major role to transmit and receive the multimedia (text, image and video) data. Proposed DNA computing based authentication algorithm provides secure transmission of multimedia data by using symmetric key cryptography techniques. DNA computing techniques provides a higher level of security and enables the user to store a large amount of data. Finally, it shows the implemented result analysis the performance of different symmetric key cryptographic techniques using the simulation parameters such as power consumption, key size, processing time, memory space, speed and latency. It also improves the security level by incorporating the advantage of DNA cryptography to achieve a high level of security against various attacks.

INFRASTRUCTURE SUPPORT FOR MULTIMEDIA COMMUNICATION: A SURVEY

1994 ◽  
Vol 03 (02) ◽  
pp. 189-202 ◽  
Author(s):  
QIANG LIN ◽  
KANKANAHALLI SRINIVAS
Keyword(s):  
Operating Systems ◽  
Multimedia Communication ◽  
Video Data ◽  
Network Support

This survey provides a brief review of the existing and future infrastructure support needed to facilitate multimedia communication utilizing graphics, audio and video data. It touches upon properties of multimedia, switching and compression standards, network support and operating systems support.

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
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