In recent years, many model intellectual property (IP) proof methods for IP protection have been proposed, such as watermarking and fingerprinting. However, with the increasing number of models transmitted deployed on Internet, quickly finding suspect among thousands model-sharing platforms GitHub is in great demand, which concurrently triggers new security problem copy detection protection. As...

Digital watermarking is a growing research area to mark digital content by embedding information into the content itself. Perceptual hashing is used to identify a specific content or to identify integrity violations up to a specific threshold. The evaluation of watermarking algorithms provides a fair and automated analysis of specific watermarking schemes for selected application fields. In thi...

According to the situation that traditional speech authentication algorithms are not appropriated for the present speech communication, we proposed a speech authentication algorithm of perceptual hashing which is based on linear forecast analysis (LPC), it can satisfy the requirement of the efficiency and the robustness for the speech authentication. Firstly, the LPC coefficients are optimized,...

Image hashing is a popular technique applied to large scale content-based visual retrieval due to its compact and efficient binary codes. Our work proposes a new end-to-end deep network architecture for supervised hashing which directly learns binary codes from input images and maintains good properties over binary codes such as similarity preservation, independence, and balancing. Furthermore,...

Hashing is one of the most popular and powerful approximate nearest neighbor search techniques for large-scale image retrieval. Most traditional hashing methods first represent images as off-the-shelf visual features and then produce hash codes in a separate stage. However, off-the-shelf visual features may not be optimally compatible with the hash code learning procedure, which may result in s...

Image mining deals with knowledge discovery in image data bases. In Existing system they represent a data mining techniques to discover significant patterns and they introduce association mining algorithm for discovery of frequent item sets and the generation of association rules. But in the new association rule mining algorithm the completion time of the process is increased. so the proposed w...

We propose a flexible procedure for large-scale image search by hash functions with kernels. Our method treats binary codes and pairwise semantic similarity as latent and observed variables, respectively, in a probabilistic model based on Gaussian processes for binary classification. We present an efficient inference algorithm with the sparse pseudo-input Gaussian process (SPGP) model and paral...

Image hashing is an alternative approach to many applications accomplished with watermarking. In this paper, we propose a novel image hashing method in the DCT Domain which can be directly extended to MPEG video without DCT transforms. A key goal of the method is to produce randomized hash signatures which are unpredictable for unauthorized users, thereby yielding properties akin to cryptograph...