New Approach to Wireless Video Compression with Low Complexity

Author(s):  
Gangyi Jiang ◽  
Zhipeng Jin ◽  
Mei Yu ◽  
Tae-Young Choi
2012 ◽  
Vol 2012 ◽  
pp. 1-20 ◽  
Author(s):  
Phat Nguyen Huu ◽  
Vinh Tran-Quang ◽  
Takumi Miyoshi

This paper puts forward a low-complexity video compression algorithm that uses the edges of objects in the frames to estimate and compensate for motion. Based on the proposed algorithm, two schemes that balance energy consumption among nodes in a cluster on a wireless video sensor network (WVSN) are proposed. In these schemes, we divide the compression process into several small processing components, which are then distributed to multiple nodes along a path from a source node to a cluster head in a cluster. We conduct extensive computational simulations to examine the truth of our method and find that the proposed schemes not only balance energy consumption of sensor nodes by sharing of the processing tasks but also improve the quality of decoding video by using edges of objects in the frames.


2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Xianqing Chen ◽  
Lenan Wu

We introduce the extended binary phase shift keying (EBPSK) communication system which is different from traditional communication systems by using a special impacting filter (SIF) for demodulation. The joint detection technique is applied at the demodulator side in order to improve the performance of the system under intersymbol interference (ISI). The main advantage of the joint detection technique, when compared to conventional threshold approaches, lies in its ability to use the amplitude and the correlation between neighboring bits, thus significantly improving performance, with low complexity. Moreover, we concentrate not only on increasing the bit rate of the system, but also on designing a bandwidth efficient communication system. Simulation results show that this new approach significantly outperforms the conventional method of using threshold decision by from 3.5 to 5 dB. The new system also occupies a narrower bandwidth. So joint detection is an effective method for EBPSK demodulation under ISI.


2013 ◽  
Vol 336-338 ◽  
pp. 2344-2347
Author(s):  
Guo Wei Qin ◽  
Shan Chao Tu ◽  
Zhi Qiang Liu ◽  
Guo De Wang

Designed based on H.264 video compression standard for embedded wireless video teaching system,Given in detail of the system hardware design and software implementation of the corresponding method,And data transmission network for the RTP problem corresponding solutions,Practice has proved that the system design is reasonable,reliable operation .


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