Abstract | ||
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The "variety" aspect of Big data is of immense significance since it accommodates the numerous formats of information - Structured, Unstructured and Semi-structured This paper presents novel idea of cloud based video analytics using speech processing, Natural Language Processing and semantic web technologies, along with analysis of sensory data obtained from players body sensors. The long term goal of our proposed system based on deep learning is to give answers like what is the best combination of players for next N minutes of the game by performing detailed analysis on variety of big data. |
Year | Venue | Keywords |
---|---|---|
2015 | 2015 IEEE 4TH GLOBAL CONFERENCE ON CONSUMER ELECTRONICS (GCCE) | Semantic web, Soccer, Video Analytics |
Field | DocType | Citations |
Data science,World Wide Web,Semantic Web Stack,Computer science,Web analytics,Semantic Web,Semantic analytics,Social Semantic Web,Analytics,Big data,Semantic computing | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Khalid Mahmood Malik | 1 | 8 | 3.60 |
Hiro Takahashi | 2 | 0 | 0.34 |