Abstract Protecting the Intellectual Property Rights (IPR) associated to Deep Neural
Networks (DNNs) is a pressing need pushed by the high costs required to train such …

This paper proposes two novel self-embedding watermarking schemes based upon a
reference sharing mechanism, in which the watermark to be embedded is a reference …

This paper proposes a novel watermarking scheme with flexible self-recovery quality. The
embedded watermark data for content recovery are calculated from the original discrete …

This paper presents a new model of the content reconstruction problem in self-embedding
systems, based on an erasure communication channel. We explain why such a model is a …

Watermarking algorithms have been widely applied to the field of image forensics recently.
One of these very forensic applications is the protection of images against tampering. For …

Apparatus and methods for encoding panoramic content, such as by a wide field of view and
large image size. In one implementation, a panoramic image may be mapped to a cube …

Disclosed is a system and method for generating a model of the geometric relationships
between various audio sources recorded by a multi-camera system. The spatial audio scene …

Disclosed is a system and method for generating a model of the geometric relationships
between various audio sources recorded by a multi-camera system. The spatial audio scene …

For any given host image or group of host images and any (block) transform domain of
interest, we find the signature vector that when used for spread-spectrum (SS) message …

This paper proposes a tamper detection and correction technique using semi-fragile data
hiding that aims to achieve high perceptual quality of images at the user-end even after …