Local active content fingerprinting: Optimal solution under linear modulation

Kostadinov, Dimche; Voloshynovskyy, Svyatoslav; Diephuis, Maurits; Holotyak, Taras

doi:10.1109/ICIP.2016.7533094

Proceedings chapter

English

Local active content fingerprinting: Optimal solution under linear modulation

ContributorsKostadinov, Dimche; Voloshynovskyy, Svyatoslav; Diephuis, Maurits; Holotyak, Taras

Presented atPhoenix (AZ, USA), 25-28 September 2016

Published inIEEE International Conference on Image Processing, ICIP 2016, p. 3917-3921

PublisherIEEE

Publication date2016

Abstract

This papers presents an analysis on Active Content Fingerprint (aCFP) for local (patch based) image descriptors. A generalization is proposed, the reduction of the aCFP with linear modulation to a constrained projection problem is shown and the optimal solution is given. The constrained projection problem addresses the linear modulation by a constraint on the properties of the resulting local descriptor. A computer simulation using local image patches, extracted from publicly available data sets is provided, demonstrating the advantages under several signal processing distortions.

Keywords

Active content fingerprint
Modulation
Local descriptor
Robustness and constrained projection

Affiliation entities

Research groups

Citation (ISO format)

KOSTADINOV, Dimche et al. Local active content fingerprinting: Optimal solution under linear modulation. In: IEEE International Conference on Image Processing, ICIP 2016. Phoenix (AZ, USA). [s.l.] : IEEE, 2016. p. 3917–3921. doi: 10.1109/ICIP.2016.7533094