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Demonstration of an open source framework for qualitative evaluation of CBIR systems

Author
Gomez, P.; Mohedano, E.; McGuinness, K.; Giro, X.; O'Connor, N.
Type of activity
Presentation of work at congresses
Name of edition
ACM Multimedia Conference 2018
Date of publication
2018
Presentation's date
2018-10-24
Book of congress proceedings
Proceedings of 2018 ACM Multimedia Conference, Seoul, Republic of Korea, October 22-26, 2018 (MM’18)
First page
1256
Last page
1257
Publisher
Association for Computing Machinery (ACM)
DOI
https://doi.org/10.1145/3240508.3241395 Open in new window
Project funding
Multimodal Signal Processing and Machine Learning on Graphs
Repository
http://hdl.handle.net/2117/123448 Open in new window
https://imatge.upc.edu/web/publications/demonstration-open-source-framework-qualitative-evaluation-cbir-systems Open in new window
URL
https://dl.acm.org/citation.cfm?id=3241395 Open in new window
Abstract
Evaluating image retrieval systems in a quantitative way, for example by computing measures like mean average precision, allows for objective comparisons with a ground-truth. However, in cases where ground-truth is not available, the only alternative is to collect feedback from a user. Thus, qualitative assessments become important to better understand how the system works. Visualizing the results could be, in some scenarios, the only way to evaluate the results obtained and also the only opport...
Citation
Gomez, P., Mohedano, E., McGuinness, K., Giro, X., O'Connor, N. Demonstration of an open source framework for qualitative evaluation of CBIR systems. A: ACM Multimedia Conference. "Proceedings of 2018 ACM Multimedia Conference, Seoul, Republic of Korea, October 22-26, 2018 (MM’18)". New York: Association for Computing Machinery (ACM), 2018, p. 1256-1257.
Keywords
content-based image retrieval, deep learning, open source, retrieval, user interface, visual search
Group of research
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants

  • Gomez Duran, Paula  (author and speaker )
  • Mohedano, Eva  (author and speaker )
  • McGuinness, Kevin  (author and speaker )
  • Giro Nieto, Xavier  (author and speaker )
  • O'Connor, Noel  (author and speaker )

Attachments