CMMB image sequences measurement based on computation in high-dimension space

Authors:
Jun Yang;Shi-jiao Zhu;Zhong-qin Bi
Affiliations:
School of Computer and Information Engineering, Shanghai University of Electric Power, Shanghai, China;School of Computer and Information Engineering, Shanghai University of Electric Power, Shanghai, China;School of Computer and Information Engineering, Shanghai University of Electric Power, Shanghai, China
Venue:
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
Year:
2012

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Abstract

At present, video contents from the Internet are accessed with increasing frequency. In this paper, combined with China Mobile Multimedia Broadcasting (CMMB) system characteristics is presented based on high-dimension space computation modal for measurement of quantity of CMMB video sequences. From the relationship between different points, it makes computation in high-dimension space for the measurement of videos. Different with some classic algorithms, such as PSNR, objective model, which discussed for alignment of video sequences and lead to complex computation, the proposed method is based on computation in high-dimension space. Image sequences of original video are classified into different sets. For real quality measurement, a CMMB image is used to find similar among these sets and gave its measurement. Experimental results indicate that the proposed method make the measurement easily and meet the real noised image sequence. The proposed method is constructive and it proves the reliability of this measurement system.