Signature Quadratic Form Distance for Efficient Multimedia Database Retrieval

• Applicant: Professor Dr. Thomas Seidl
• Subject Area: Security and Dependability, Operating-, Communication- and Distributed Systems
• Term: from 2012 to 2016
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 211499611

• Final Report Year: 2017

Final Report Abstract

No abstract available

Publications

• Signature matching distance for contentbased image retrieval. Proceedings of the IEEE International Conference on Multimedia Retrieval (ICMR): 41-48 (2013)
  C. Beecks, S. Kirchhoff, T. Seidl
  
• On stability of signature-based similarity measures for content-based image retrieval. Multimedia Tools and Applications 71(1): 349-362 (2014)
  C. Beecks, S. Kirchhoff, T. Seidl
  
• Efficient similarity search in scientific databases with feature signatures. Proceedings of the International Conference on Scientific and Statistical Database Management (SSDBM): 30:1-30:12 (2015)
  M. S. Uysal, C. Beecks, J. Schmücking, T. Seidl
  
• Gradient-based Signatures for Efficient Similarity Search in Large-scale Multimedia Databases. Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM): 1241-1250 (2015)
  C. Beecks, M. S. Uysal, J. Hermanns, T. Seidl
  
• Efficient Query Processing in 3D Motion Capture Gesture Databases. International Journal of Semantic Computing 10(1): 5-26 (2016)
  C. Beecks, M. Hassani, B. Brenger, J. Hinnell, D. Schüller, I. Mittelberg, T. Seidl
  
• Efficient Query Processing using the Earth's Mover Distance in Video Databases. Proceedings of the International Conference on Extending Data Base Technology (EDBT): 389-400 (2016)
  M. S. Uysal, C. Beecks, D. Sabinasz, J. Schmücking, T. Seidl