Image embedding and user multi-preference modeling for data collection sampling

Image embedding and user multi-preference modeling for data collection sampling

Abstract This work proposes an end-to-end user-centric sampling method aimed at selecting the images from an image collection that are able to maximize the information perceived by a given user. As main contributions, we first introduce novel metrics that assess the amount of perceived information r...

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Bibliographic Details
Main Authors: Anju Jose Tom, Laura Toni, Thomas Maugey
Format: Article
Language:English
Published: SpringerOpen 2023-10-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Perceived information
Representation learning
User preference modeling
ResNeXt
COCO dataset
Image collection sampling
Online Access:https://doi.org/10.1186/s13634-023-01069-0

Internet

https://doi.org/10.1186/s13634-023-01069-0

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