Recent advances in neural networks (NNs) have enabled automatic querying of large
volumes of video data with high accuracy. While these deep NNs can produce accurate …

Big data is an emerging paradigm applied to datasets whose size is beyond the ability of
commonly used software tools to capture, manage, and process the data within a tolerable …

Video data is highly expressive and has traditionally been very difficult for a machine to
interpret. Querying event patterns from video streams is challenging due to its unstructured …

Early prototype multimedia database management systems used the query-by-example
paradigm to respond to user queries. Users needed to formulate their queries by providing …

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

A computer-implemented method for an object and activity query language wherein an
object is a data type representing a thing or a being with a visual shape in an image or video …

Considering the fact that querying by low-level object features is essential in image and
video data, an efficient approach for querying and retrieval by shape and color is proposed …

Recent increase in the use of video-based applications has revealed the need for extracting
the content in videos. Raw data and low-level features alone are not sufficient to fulfill the …

The increasing need of video based applications issues the importance of parsing and
organizing the content in videos. However, the accurate understanding and managing video …

Querying video data has become increasingly popular and useful. Video queries can be
complex, ranging from retrieval tasks (“find me the top videos that have...”), to analytics (“how …