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Big data-based multimedia transcoding method and its application in multimedia data mining-based smart transportation and telemedicine

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Abstract

The method and system proposed in this paper obtain different data and same data between current multimedia data and pre-stored data by comparing current multimedia data and pre-stored data and encode the attribute information of same data from encoding big data. It is not necessary to encode all multimedia data, but to encode different data and attribute information only. Different data account for a small proportion of the entire multimedia data, while same data represent most of the entire multimedia data. Besides, the encoding of same data is concerned with the attribute information of same data, so the quantity of encoding data is very small and hence the compression ratio is very higher.

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Acknowledgments

This research was supported by Major Project of Guangdong Province under Grant No. 2014B090901064, Project of Guangdong Province under Grant No. 2015A010103013, Major Project of National Social Science Fund under Grant No. 14ZDB101, and National Natural Science Foundation of China under Grant No. 61105133.

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Authors and Affiliations

  1. School of Computer Science, South China Normal University, 510631, Guangzhou, China

    Dingju Zhu

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  1. Dingju Zhu
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Correspondence to Dingju Zhu.

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Zhu, D. Big data-based multimedia transcoding method and its application in multimedia data mining-based smart transportation and telemedicine. Multimed Tools Appl 75, 17647–17668 (2016). https://doi.org/10.1007/s11042-016-3466-3

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  • DOI: https://doi.org/10.1007/s11042-016-3466-3

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