Research of visual neural networks (VNNs) is one of the most important topics in deep
learning and has received wide attention from industry and academia for their promising …

Image copy detection is an important technology of copyright protection. This paper
proposes an efficient hashing method for image copy detection using 2D-2D (two-directional …

Compression technology for representing image is on demand for efficiently processing
images in the Big Data era. Image hashing is an effective compression technology for …

Robust hashing is a useful technique for the image applications of watermarking,
authentication, quality assessment and copy detection. This paper proposes a new robust …

Image perceptual hashing has been widely used in image content authentication. In order to
extract hashing sequences that are more consistent with the subjective feeling of human's …

Robust hashing is a powerful technique for processing large-scale images. Currently, many
reported image hashing schemes do not perform well in balancing the performances of …

As an important tool for loading, unloading, and distributing palletized goods, forklifts are
widely used in different links of industrial production process. However, due to the rapid …

An important goal of indoor positioning systems is to improve positioning accuracy as well
as reduce power consumption. In this paper, we propose an indoor positioning method …

Copy detection is crucial for protecting image copyright. This paper proposes a robust image
hashing approach via Weighted Saliency Map (WSM) and Laplacian Eigenmaps …

In this paper, an image hashing scheme combining 3D space contour (TDSC) features with
vector angle (VA) features is proposed. The proposed algorithm extracts the 3D contours of …