Output details
11 - Computer Science and Informatics
University of Bristol
Output title
Adaptive Sampling for Low Latency Vision Processing
Type
E - Conference contribution
Name of conference/published proceedings
Asian conference on Computer Vision : Workshop on Computational Photography and Low-Level Vision
Volume number
-
Issue number
-
First page of article
194
ISSN of proceedings
-
Year of publication
2012
URL
-
Number of additional authors
3
Additional information
<23> Joint work with XMOS Ltd (Muller), the paper examines the benefits of processing live streamed video data very close to the camera to give two benefits: Firstly virtually no storage of data, and secondly the sensor can be adaptively modified during the streaming at extremely high speed (e.g. rate and/or exposure of sampling). The work has led to a number of DSTL grants to help support their SWAP (Size, Weight and Power) agenda. [“Novel Low Power Vision: An Autonomous Multicore Dynamic Imaging System”, CDE Future Sensor Systems CDE24704, phase one and phase two, 2012-2013, 2x£50K ]
Interdisciplinary
-
Cross-referral requested
-
Research group
E - Visual Information Laboratory
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-