2012
DOI: 10.3837/tiis.2012.10.005
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A Hadoop-based Multimedia Transcoding System for Processing Social Media in the PaaS Platform of SMCCSE

Abstract: This version includes a detailed decription about data routing algorithm for general sensor nodes to the cluster heads and explicit proof for therorems.

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Cited by 7 publications
(3 citation statements)
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“…Most methods focus on solving the issue that how to utilise the video information to speed up the video transcoding process. Other researchers put the emphasis on utilising multiprocessor to parallel transcoding (Shen et al, 1995;Sambe et al, 2005;Deneke, 2011) or cloud transcoding (Pereira et al, 2010;Kim et al, 2012Kim et al, , 2013Garcia et al, 2010). In fact, the transcoding technique is comparative maturity, but the issue of how to combine the existing video processing technology and distributed architecture is not researched so much.…”
Section: Video Transcoding Frameworkmentioning
confidence: 99%
“…Most methods focus on solving the issue that how to utilise the video information to speed up the video transcoding process. Other researchers put the emphasis on utilising multiprocessor to parallel transcoding (Shen et al, 1995;Sambe et al, 2005;Deneke, 2011) or cloud transcoding (Pereira et al, 2010;Kim et al, 2012Kim et al, , 2013Garcia et al, 2010). In fact, the transcoding technique is comparative maturity, but the issue of how to combine the existing video processing technology and distributed architecture is not researched so much.…”
Section: Video Transcoding Frameworkmentioning
confidence: 99%
“…This system provides multimedia content storing and management functions via cloud computing, which is used to transcode the multimedia content to provide a personalized multimedia streaming service. In [14], Kim et al developed a multimedia content transcoding module using MapReduce and HDFS. Díaz-Sánchez et al [12] also proposed media cloud, a middleware for set-top boxes that classifies, searches for, and delivers multimedia content inside home networks and across any cloud that interoperates with UPnP and DLNA.…”
Section: Related Workmentioning
confidence: 99%
“…In cloud computing, distributed processing of massive amounts of data can be achieved using spare resources, which results in savings, both economically and temporally. Furthermore, cloud computing brings technological advances [2,[11][12][13][14]. Cloud computing has become an effective solution for processing massive metadata generated by home appliances connected via home gateways.…”
Section: Introductionmentioning
confidence: 99%