Ecole d'ingénieur et centre de recherche en Sciences du numérique

Privacy protection filter using StegoScrambling in video surveillance

Ruchaud, Natacha; Dugelay, Jean-Luc

MEDIAEVAL 2015, MediaEval Benchmarking Initiative for Multimedia Evaluation Workshop, 14-15 September 2015, Wurzen, Saxony, Germany

This paper introduces a new privacy filter adopted in the context of the DPT (Drone Protect Task) at MediaEval Benchmark 2015. Our proposed filter protects privacy by visually replacing sensitive RofI (Regions of Interest) by its shapes. A combination of steganography and scrambling is used in order to make this filter. Once the scrambling is applied on the pixels of the RofI, its MSB (Most Significant Bit) are hidden in the LSB (Least Significant Bit) of a cover image. Our filter fulfils four criteria defined by DPT: near-lossless reversibility, intelligibility, appropriateness and anonymization. We benchmarked the filter on the last three criteria and we get good results: 40 % for intelligibility and appropriateness, and 60 % for anonymization.

Document Hal Bibtex

Titre:Privacy protection filter using StegoScrambling in video surveillance
Département:Sécurité numérique
Eurecom ref:4697
Copyright: CEUR
Bibtex: @inproceedings{EURECOM+4697, year = {2015}, title = {{P}rivacy protection filter using {S}tego{S}crambling in video surveillance}, author = {{R}uchaud, {N}atacha and {D}ugelay, {J}ean-{L}uc}, booktitle = {{MEDIAEVAL} 2015, {M}edia{E}val {B}enchmarking {I}nitiative for {M}ultimedia {E}valuation {W}orkshop, 14-15 {S}eptember 2015, {W}urzen, {S}axony, {G}ermany }, address = {{W}urzen, {ALLEMAGNE}}, month = {09}, url = {} }
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