Deep Learning-Based Event Data Coding: A Joint Spatiotemporal and Polarity Solution
Neuromorphic vision sensors, commonly referred to as event cameras, generate a massive number of pixel-level events, composed by spatiotemporal and polarity information, thus demanding highly efficient coding solutions. Existing solutions focus on lossless coding of event data, assuming that no dist...
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| Päätekijät: | , , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
IEEE
2026-01-01
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| Sarja: | IEEE Open Journal of Signal Processing |
| Aiheet: | |
| Linkit: | https://ieeexplore.ieee.org/document/11359485/ |
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