We present a new video storage system (VSS) designed to decouple high-level video
operations from the low-level details required to store and efficiently retrieve video data. VSS …

Recently, video database management systems (VDBMSs) have re-emerged as an active
area of research and development. To accelerate innovation in this area, we present Visual …

We present VStore, a data store for supporting fast, resource-efficient analytics over large
archival videos. VStore manages video ingestion, storage, retrieval, and consumption. It …

Modern video data management systems store videos as a single encoded file, which
significantly limits possible storage level optimizations. We design, implement, and evaluate …

Pervasive deployment of surveillance cameras today poses enormous scalability challenges
to video analytics systems operating over many camera feeds. Currently, there are few …

Video is the most effective means of communicating and storing audio visual information.
The usability of video acquires a new dimension when it is augmented with content based …

With the exponential growth of video data, there is a pressing need for efficient video
analysis technology. Modern query frameworks aim to accelerate queries by reducing the …

BACKGROUND With the proliferation of digital video recorders (DVRs) and the like, users
have the ability to create vast libraries of stored content. However, the storage space for …

We evaluate storage system alternatives for movies-on-demand video servers. We begin by
characterizing the movies-on-demand workload. We briefly discuss performance in disk …

In recent years, deep learning models have revolutionized computer vision, enabling
diverse applications. However, these models are computationally expensive, and leveraging …