Advances in deep learning have led to a resurgence of interest in video analytics. In an
exploratory video analytics pipeline, a data scientist often starts by searching for a global …

A novel H. 264/AVC watermarking method is proposed in this paper. By embedding the
robust watermark into DCT domain and the fragile watermark into motion vectors …

Approximate nearest neighbor search (ANNS) is a fundamental problem that has a wide
range of applications in information retrieval and data mining. Among state-of-the-art in …

We present the data model, architecture, and evaluation ofLightDB, a database
management system designed to efficientlymanage virtual, augmented, and mixed reality …

The increased use of video data sets for multimedia-based applications has created a
demand for strong video database support, including efficient methods for handling the …

The goal of video segmentation is to turn video data into a set of concrete motion clusters
that can be easily interpreted as building blocks of the video. There are some works on …

An image-creation method includes capturing an image as digital data, locating an area of
interest of the captured image, extracting, from the digital data, at least some data …

Nearest neighbor search has found numerous applications in machine learning, data mining
and massive data processing systems. The past few years have witnessed the popularity of …

The advances in information technology, computational capability, and communication
networks have enabled large-scale data collection and distribution of vast amounts of …

Real-world video-based applications require database technology that is capable of storing
digital video in the form of video databases and providing content-based video search and …