Sridhar Swaminathan

Employment

• Bennett University Assistant Professor
  2019 - Present
• Bennett University Post Doctoral Fellow
  2017 - 2018
• Universiti Multimedia Research Officer
  2015 - 2017

Education

• Bharathidasan University Ph.D
  2012 - 2015
• Bishop Heber College M.Sc
  2010 - 2012
• Bishop Heber College B.Sc
  2007 - 2010

Projects & Funding

Projects & funding information is unavailable.

Publications (13)

• Sparse Low Rank Factorization for Deep Neural Network Compression
  Neurocomputing 2020 DOI: 10.1016/j.neucom.2020.02.035
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• Movie Video Summarization- Generating Personalized Summaries Using Spatiotemporal Salient Region Detection
  International Journal of Multimedia Data Engineering and Management 2019 DOI: 10.4018/ijmdem.2019070101
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• Real Time Event Detection Adopting Incremental TF-IDF based LSH and Event Summary Generation
  International Journal of Computer Applications 2018 DOI: 10.5120/ijca2018916252
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• SportsBuzzer: Detecting Events at Real Time in Twitter using Incremental Clustering
  Transactions on Machine Learning and Artificial Intelligence 2018 DOI: 10.14738/tmlai.61.3861
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• TwitterSports: Real Time Detection of Key Events from Sports Tweets
  Transactions on Machine Learning and Artificial Intelligence 2017 DOI: https://doi.org/10.14738/tmlai.56.3729
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• CLRF: Compressed Local Retinal Features for image description
  ICAPR 2015 - 2015 8th International Conference on Advances in Pattern Recognition 2015 DOI: 10.1109/ICAPR.2015.7050672
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• Discovering salient objects from videos using spatiotemporal salient region detection
  Signal Processing: Image Communication 2015 DOI: 10.1016/j.image.2015.07.004
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• MPRF: Multisupport polar region features for image description
  2014 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2014 2015 DOI: 10.1109/ISSPIT.2014.7300562
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• Salient region detection using patch level and region level image abstractions
  IEEE Signal Processing Letters 2015 DOI: 10.1109/LSP.2014.2366192
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• What do you wish to see? A summarization system for movies based on user preferences
  Information Processing and Management 2015 DOI: 10.1016/j.ipm.2014.12.001
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