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Event-Based Media Processing and Analysis: A Survey of the Literature [PDF]
Image and Vision Computing, 2016 Research on event-based processing and analysis of media is receiving an increasing attention from the scientific community due to its relevance for an abundance of applications, from consumer video management and video surveillance to lifelogging and social media.
Ioannis, Vasileios Mezaris, Giulia Boato
exaly +7 more sources
IEEE Access, 2018 Event processing systems serve as a middleware between the Internet of Things (IoT) and the application layer by allowing users to subscribe to events of interest. Due to the increase of multimedia IoT devices (i.e.
Asra Aslam, Edward Curry
doaj +3 more sources
Bonsai: An event-based framework for processing and controlling data streams [PDF]
Frontiers in Neuroinformatics, 2015 The design of modern scientific experiments requires the control and monitoring of many different data streams. However, the serial execution of programming instructions in a computer makes it a challenge to develop software that can deal with the ...
Gonçalo eLopes +15 more
doaj +5 more sources
Revisiting Batch Normalization for Training Low-Latency Deep Spiking Neural Networks From Scratch
Frontiers in Neuroscience, 2021 Spiking Neural Networks (SNNs) have recently emerged as an alternative to deep learning owing to sparse, asynchronous and binary event (or spike) driven processing, that can yield huge energy efficiency benefits on neuromorphic hardware.
Youngeun Kim, Priyadarshini Panda
doaj +1 more source
Event-based Signal Processing for Radioisotope Identification [PDF]
2020 6th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP), 2020 This paper identifies the problem of unnecessary high power overhead of the conventional frame-based radioisotope identification process and proposes an event-based signal processing process to address the problem established. It also presents the design flow of the neuromorphic processor.
Xiaoyu Huang +8 more
openaire +3 more sources
Sharing leaky-integrate-and-fire neurons for memory-efficient spiking neural networks
Frontiers in Neuroscience, 2023 Spiking Neural Networks (SNNs) have gained increasing attention as energy-efficient neural networks owing to their binary and asynchronous computation.
Youngeun Kim +4 more
doaj +1 more source
AEStream: Accelerated event-based processing with coroutines
Neuro-Inspired Computational Elements Conference, 2023 Neuromorphic sensors imitate the sparse and event-based communication seen in biological sensory organs and brains. Today's sensors can emit many millions of asynchronous events per second, which is challenging to process on conventional computers. To avoid bottleneck effects, there is a need to apply and improve concurrent and parallel processing of ...
Jens Egholm Pedersen, Jorg Conradt
openaire +3 more sources
Velocity and Color Estimation Using Event-Based Clustering
Sensors, 2023 Event-based clustering provides a low-power embedded solution for low-level feature extraction in a scene. The algorithm utilizes the non-uniform sampling capability of event-based image sensors to measure local intensity variations within a scene ...
Xavier Lesage +3 more
doaj +1 more source
JANA2 Framework for Event Based and Triggerless Data Processing [PDF]
EPJ Web of Conferences, 2020 Development of the second generation JANA2 multi-threaded event processing framework is ongoing through an LDRD initiative grant at Jefferson Lab. The framework is designed to take full advantage of all cores on modern many-core compute nodes.
Lawrence David +2 more
doaj +1 more source
Frontiers in Neuroscience, 2020 The combination of neuromorphic visual sensors and spiking neural network offers a high efficient bio-inspired solution to real-world applications. However, processing event- based sequences remains challenging because of the nature of their asynchronism
Yannan Xing +2 more
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