Abstract
This study presents an application of H.264 video coding technology in the digital monitor system, in which H.264 was used as a new method. And now the majority of monitor system use MPEG1/MPEG2 for coding the video while consumes large disk and net load cost. For getting the goal of real time data compression, we proposed three sides to enhance the computing speed: the first is optimization of selection of inter-frame mode, the second is tune the computation structure of interpolation, the last is assembly optimization with MMX and SSE.
Highlights
As technology continues to evolve, the video surveillance system has been widely used in intelligent transportation, smart buildings, shopping malls, supermarkets, hospitals, campuses, corporate production and living quarters and other range, has penetrated into all areas of production and life
Because the storage cost and network bandwidth is high of digital video monitoring system based on the current MPEGl/MPEG2, the study proposes the H.264 frequency coding technology solutions
A new generation of multimedia coding technology H.264 algorithm has high coding efficiency, in the same reconstruction image quality, than to H.263 save 50% of code rate
Summary
As technology continues to evolve, the video surveillance system has been widely used in intelligent transportation, smart buildings, shopping malls, supermarkets, hospitals, campuses, corporate production and living quarters and other range, has penetrated into all areas of production and life. In the domestic and overseas markets, there are two types of products digitally controlled analog video surveillance and digital video surveillance The former technology development has been very mature, stable performance and has been widely used in practical engineering, especially in large and medium-sized video surveillance project is extensive. The latter is a newly emerging video to computer technology and image compression as the core of a new video surveillance system, the system to solve the drawbacks of the analog part of the system, but still needs further improvement and development (Zhou and Deng, 2004; Kaup and Mooshofer, 1999; Panusopone et al, 2000)
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