In the SemanticCollage research project (released July 6th 2020) we developed a digital mood board tool that attaches semantic labels to images by applying a state-of-the-art semantic labeling algorithm. It helps designers to 1) translate vague, visual ideas into search terms; 2) make better sense of and communicate their designs; while 3) not disrupting their creative flow.
1) setup Postgres DB -- db name: semanticcollage
2) create tables using the statements in the DB folder
3) make sure the user 'research' has read/write privilages
(GRANT ALL PRIVILEGES ON DATABASE "semanticcollage" to research;)
4) install requirements: see requirements.tex
5) add a folder 'images' in the static folder1) Navigate to the folder.
2) start the system: python main.py
3) connect to: http://localhost:80802.7
@inproceedings{SemanticCollage,
title={SemanticCollage: Enriching Digital Mood Board Design with Semantic Labels},
author={Koch, Janin and Taffin, Nicolas and Lucero, Andr{\'e}s and Mackay, Wendy},
booktitle={Proceedings of the Designing Interactive Systems Conference 2020 (DIS '20)},
year={2020},
organization={ACM}
}This project is licensed under the MIT License, see the LICENSE.txt file for details.
Copyright © 2020 User Interfaces group, Aalto University, Finland
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent