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

33 citations · 38 across the 6 of their papers we have counts for

collaborators

8 papers

cs.SI20211 cited

Donut visualizations for network-level and regional-level overview of Spatial Social Networks

Dipto Sarkar, Piyush Yadav

Spatial Social Networks (SSN) build on the node and edge structure used in Social Network Analysis (SNA) by incorporating spatial information. Thus, SSNs include both topological a…

cs.CL2020

MuSeM: Detecting Incongruent News Headlines using Mutual Attentive Semantic Matching

Rahul Mishra, Piyush Yadav, Remi Calizzano +1

Measuring the congruence between two texts has several useful applications, such as detecting the prevalent deceptive and misleading news headlines on the web. Many works have prop…

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.CV202033 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

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…