Existing data-dependent hashing methods usually learn hash functions from pairwise or
triplet data relationships, which only capture the data similarity locally, and often suffer from …

With the rapid increase of video surveillance points in the market in recent years, video
anomaly detection has gained extensive attention in the security field. At present, the …

The unprecedented escalation and proliferation of digital multimedia and Internet
technology have triggered the enormous copyright infringement issues and tampering of …

Data-dependent hashing methods aim to learn hash functions from the pairwise or triplet
relationships among the data, which often lead to low efficiency and low collision rate by …

Human group activity recognition has drawn the attention of researchers worldwide because
of the significant role it plays in many applications, including video surveillance and public …

With the growth of crowd phenomena in the real world, crowd scene understanding is
becoming an important task in anomaly detection and public security. Visual ambiguities …

Video hashing is a novel technique of multimedia processing and finds applications in video
retrieval, video copy detection, anti-piracy search and video authentication. In this paper, we …

Deep video hashing (DVH) is a very appealing way to decrease storage costs and query
times. In this work we propose a hashing model using two separated modules. A 3DCNN is …

With the growth of crowd phenomena in the real world, crowd scene understanding is
becoming an important task in anomaly detection and public security. Visual ambiguities …

We investigate correlations between SRAM cell defects and power supply current including
I/sub DDQ/(peak value of quiescent power supply current) and i/sub DDT/(transient power …