activity
20202022
most citedVidCEP: Complex Event Processing Framework to Detect Spatiotemporal Patterns in Video Streams

33 citations · 71 across the 8 of their papers we have counts for

collaborators

8 papers

cs.AI2022★ 3 cited

Blockchain as an Enabler for Transfer Learning in Smart Environments

Amin Anjomshoaa, Edward Curry

The knowledge, embodied in machine learning models for intelligent systems, is commonly associated with time-consuming and costly processes such as large-scale data collection, dat…

cs.CV2021★ 26 cited

VID-WIN: Fast Video Event Matching with Query-Aware Windowing at the Edge for the Internet of Multimedia Things

Piyush Yadav, Dhaval Salwala, Edward Curry

Efficient video processing is a critical component in many IoMT applications to detect events of interest. Presently, many window optimization techniques have been proposed in even…

cs.AI2020

Visual Semantic Multimedia Event Model for Complex Event Detection in Video Streams

Piyush Yadav, Edward Curry

Multimedia data is highly expressive and has traditionally been very difficult for a machine to interpret. Middleware systems such as complex event processing (CEP) mine patterns f…

cs.CV2020★ 33 cited

VidCEP: Complex Event Processing Framework to Detect Spatiotemporal Patterns in Video Streams

Piyush Yadav, Edward Curry

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 unstructu…

cs.CV2020

Knowledge Graph Driven Approach to Represent Video Streams for Spatiotemporal Event Pattern Matching in Complex Event Processing

Piyush Yadav, Dhaval Salwala, Edward Curry

Complex Event Processing (CEP) is an event processing paradigm to perform real-time analytics over streaming data and match high-level event patterns. Presently, CEP is limited to…

cs.CV2020★ 5 cited

Traffic Prediction Framework for OpenStreetMap using Deep Learning based Complex Event Processing and Open Traffic Cameras

Piyush Yadav, Dipto Sarkar, Dhaval Salwala +1

Displaying near-real-time traffic information is a useful feature of digital navigation maps. However, most commercial providers rely on privacy-compromising measures such as deriv…