Getting the Face Behind the Squares: Reconstructing Pixelized Video Streams
By Ludovico Cavedon, Luca Foschini, Giovanni Vigna. 2011
19 citations recorded by the source corpus.
How researchers see this paper
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- Reza Shokri
- Vitaly Shmatikov
- Nicholas Carlini
- Richard McPherson
- Congzheng Song
- Nicolas Papernot
- Liwei Song
- Lawrence K. Saul
Citations in the corpus
- Defeating Image Obfuscation with Deep Learning (2016, background): “Cavedon et al. [6] exploited the changes in pixel boxes for obfuscating video frames to reconstruct pixelated videos using image processing methods so that humans can identify objects in the re-constructed images.”
- On the (In)effectiveness of Mosaicing and Blurring as Tools for Document Redaction (2016, background): “Likewise, Cavedon, Foschini, and Vigna[1] used superresolution techniques to recover mosaiced faces from video, assuming that the subjects on video did not move much between consecutive frames.”