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 …

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 …

Scientific communities are increasingly adopting deep learning (DL) models in their
applications to accelerate scientific discovery processes. However, with rapid growth in the …

Many recent video applications| including autonomous driving, traffic monitoring, drone
analytics, large-scale surveillance networks, and virtual reality require reasoning about …

While mobile applications have greatly benefited from 2D computer vision algorithms such
as object detection and classification, there is limited research on exploring 3D vision that is …

There is growing interest in visual data management systems that support queries with
specialized operations ranging from resizing an image to running complex machine learning …

We introduce the Visual Data Management System (VDMS), which enables faster access to
big-visual-data and adds support to visual analytics. This is achieved by searching for …

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 …

As visual analytics continues to rapidly grow, there is a critical need to improve the end-to-
end efficiency of visual processing in edge/cloud systems. In this paper, we cover …

Pervasive cameras are generating videos at an unprecedented pace, making videos the
new frontier of big data. As the processors, eg, CPU/GPU, become increasingly powerful, the …