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DTSTART;TZID=Europe/Paris:20260305T150000
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DESCRIPTION:Title: Recent advances in neuromorphic visual systems - data co
 mpression and beyond\n\nAbstract:\nNeuromorphic Vision Sensors (NVSs) are 
 emerging sensors that acquire visual information asynchronously when chang
 es occur in the scene. Their advantages versus synchronous capturing (fram
 e-based video) include a low power consumption\, a high dynamic range\, an
  extremely high temporal resolution\, and lower data rates. While this acq
 uisition strategy results in much lower data rates than conventional video
  (in particular when the camera is fixed) NVS data can be further compress
 ed and compression is required in many scenarios of interest. The talk wil
 l first introduce neuromorphic visual sensors and associated data and in t
 he second part will present methodologies developed at Kingston University
  London to estimate the bitrate output by this sensors and to compress the
  relevant data\, including lossless and lossy compression methods.\n\nCo-s
 ponsored by: Daniel Shi\n\nVirtual: https://events.vtools.ieee.org/m/54446
 3
LOCATION:Virtual: https://events.vtools.ieee.org/m/544463
ORGANIZER:Ambarish.natu@gmail.com
SEQUENCE:9
SUMMARY:Recent advances in neuromorphic visual systems - data compression a
 nd beyond
URL;VALUE=URI:https://events.vtools.ieee.org/m/544463
X-ALT-DESC:Description: <br /><p><strong data-removefontsize="true" data-or
 iginalcomputedfontsize="16">Title:&nbsp\;Recent advances in neuromorphic v
 isual systems - data compression and beyond</strong><br><br><strong data-r
 emovefontsize="true" data-originalcomputedfontsize="16">Abstract</strong>:
 &nbsp\;<br>Neuromorphic Vision Sensors (NVSs) are emerging sensors that ac
 quire visual information asynchronously when changes occur in the scene. T
 heir advantages versus synchronous capturing (frame-based video) include a
  low power consumption\, a high dynamic range\, an extremely high temporal
  resolution\, and lower data rates. While this acquisition strategy result
 s in much lower data rates than conventional video (in particular when the
  camera is fixed) NVS data can be further compressed and compression is re
 quired in many scenarios of interest. The talk will first introduce neurom
 orphic visual sensors and associated data and in the second part will pres
 ent methodologies developed at Kingston University London to estimate the 
 bitrate output by this sensors and to compress the relevant data\, includi
 ng lossless and lossy compression methods.</p>
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