Video anomaly detection (VAD) mainly refers to identifying anomalous events that have not
occurred in the training set where only normal samples are available. Existing works usually …

With the rapid development of mobile Internet and digital technology, people are more and
more keen to share pictures on social networks, and online pictures have exploded. How to …

The explosive growth of multimedia contents has made hashing an indispensable
component in image retrieval. In particular, learning-based hashing has recently shown …

Deep hashing has shown promising performance in large-scale image retrieval. The
hashing process utilizes Deep Neural Networks (DNNs) to embed images into compact …

Despite the fact that remarkable progress has been made in recent years, Content-based
Video Retrieval (CBVR) is still an appealing research topic due to increasing search …

Audio fingerprinting techniques were developed to index and retrieve audio samples by
comparing a content-based compact signature of the audio instead of the entire audio …

As more and more image data are stored in the encrypted form in the cloud computing
environment, it has become an urgent problem that how to efficiently retrieve images on the …

Hashing-based methods have been widely applied in large scale image retrieval problem
due to its high efficiency. In real world applications, it is difficult to require all images in a …

Retrieving images captured of buildings is a critical need for intelligent urban management
and tourism services. The different shooting angles, locations and distances lead to images …

Data generated and collected from Cyber-Physical-Social Systems (CPSS) that usually in
the forms of image, audio, video, and text, are complex and heterogeneous. How to deal …