Internet-enabled cameras pervade daily life, generating a huge amount of data, but most of
the video they generate is transmitted over wires and analyzed offline with a human in the …

Robustness and discrimination are two of the most important objectives in image hashing.
We incorporate ring partition and invariant vector distance to image hashing algorithm for …

Perceptual hashing is used for multimedia content identification and authentication through
perception digests based on the understanding of multimedia content. This paper presents a …

Image hash functions find extensive applications in content authentication, database search,
and watermarking. This paper develops a novel algorithm for generating an image hash …

In this paper, we proposed a blind image watermarking scheme to enhance the
effectiveness of hybrid Discrete Wavelet Transform (DWT) and Singular Value …

We propose an image hashing paradigm using visually significant feature points. The
feature points should be largely invariant under perceptually insignificant distortions. To …

We present OpenFace, our new open-source face recognition system that approaches state-
of-the-art accuracy. Integrating OpenFace with inter-frame tracking, we build RTFace, a …

This paper presents a new image hashing that is designed with tensor decomposition (TD),
referred to as TD hashing, where image hash generation is viewed as deriving a compact …

This paper designs an efficient image hashing with a ring partition and a nonnegative matrix
factorization (NMF), which has both the rotation robustness and good discriminative …

In this paper, we propose the use of non-negative matrix factorization (NMF) for image
hashing. In particular, we view images as matrices and the goal of hashing as a randomized …