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Prevalence of therapeutic use exemptions at the Olympic Games and Paralympic Games : an analysis of data from 2016 to 2022
No full textMachine learning data-based approaches for autism spectrum disorder classification utilising facial images
No full textDetecting personal protective equipment (PPE) utilising YOLOv8 in a federated learning environment
No full textInvestigation of a novel thermochemical reactor for medium- and low-temperature heating applications in buildings
No full textSelf-perceived employability and psychological well-being among Italian students and graduates : a three-wave cross-lagged study
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Strengthening the relationship between community resilience and health emergency communication : a systematic review
No full textLossy encoding of time-aggregated neuromorphic vision sensor data based on point cloud compression
No full textNeuromorphic vision sensors capture visual scenes reporting only light intensity changes in the form of spikes or events, represented by their location in the (x, y) plane, timestamp and polarity (positive or negative change). This enables an extremely high temporal resolution and high dynamic range, but also a compact representation of visual data and the relevant sensors operate with very limited energy requirements. Such data can be further compressed prior to transmission, e.g. in an Internet of Things scenario. We have shown in previous work that lossless compression can be achieved by appropriately representing the data as a point cloud and adopting point cloud compression. In this paper, we show that we can compress the data much further if we accept minor losses in data representation. For this purpose, we propose a modification of a classical point cloud encoder and define quality metrics specific to this use case. Results are reported in terms of achievable compression ratios for a specific compression level and different time aggregation intervals and in terms of spatial and temporal distortion vs. bits per event, supporting coding decisions based on the compromise between quality and bitrate