Demo for VLDB Endowment 2021
Yadav, Piyush, Dhaval Salwala, Felipe Arruda Pontes, Praneet Dhingra and Edward Curry (2021). “Query-Driven Video Event Processing for the Internet of Multimedia Things” Proceedings of the VLDB Endowment (VLDB) Demo up soon…
Research Study accepted in VLDB Endowment 2021
Yadav, Piyush, Dhaval Salwala, Felipe Arruda Pontes, Praneet Dhingra and Edward Curry (2021). “Query-DrivenVideo Event Processing for the Internet of Multimedia Things” Proceedings of the VLDB Endowment (VLDB) 14(12)
Paper published in IEEE IoT Journal 2021
Pavlopoulou, Niki, and Edward Curry. “IoTSAX: A Dynamic Abstractive Entity Summarisation Approach with Approximation and Embedding-based Reasoning Rules in Publish/Subscribe Systems.” IEEE Internet of Things Journal (2021). Abstract Users are interested in entity information and may use paradigms like Publish/Subscribe systems in Internet of Things (IoT), where entity-centric data comes from multiple sources. The IoT application demands…
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PhD Thesis accepted, Asra Aslam
On June 28th, 2021, Asra Aslam had her PhD viva and she was able to successfully defend it thereby completing her honors and PhD.
Paper published in IEEE Internet of Things Journal 2021
Yadav, Piyush, Dhaval Salwala, and Edward Curry. “VID-WIN: Fast Video Event Matching with Query-Aware Windowing at the Edge for the Internet of Multimedia Things.” IEEE Internet of Things Journal (2021). Abstract Efficient video processing is a critical component in many IoMT applications to detect events of interest. Presently, many window optimization techniques have been proposed…
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Paper published in IEEE Internet of Things Journal 2021
Yadav, Piyush, Dhaval Salwala, and Edward Curry. “VID-WIN: Fast Video Event Matching with Query-Aware Windowing at the Edge for the Internet of Multimedia Things.” IEEE Internet of Things Journal (2021).
PhD Thesis accepted, Piyush Yadav
On May 10th, 2021, Piyush Yadav had his PhD viva and he was able to successfully defend it thereby completing his honors and PhD.
Paper published in Image and Vision Computing (IMAVIS), Volume 106, 2021
Asra Aslam, Edward Curry, “A Survey on Object Detection for the Internet of Multimedia Things (IoMT) using Deep Learning and Event-based Middleware: Approaches, Challenges, and Future Directions“, Image and Vision Computing (IMAVIS), Volume 106, 2021, 104095.
Paper published in Multimedia Tools and Applications (MTAP), 2021.
Abstract: The enormous growth of multimedia content in the field of the Internet of Things (IoT) leads to the challenge of processing multimedia streams in real-time. Event-based systems are constructed to process event streams. They cannot natively consume multimedia event types produced by the Internet of Multimedia Things (IoMT) generated data to answer multimedia-based user…
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