Conceptual framework for indexing visual information at multiple levels
By Alejandro Jaimes, Shih-Fu Chang. 1999
Subfields: Computer Vision and Pattern Recognition, Information Retrieval & Search
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Jason Baldridge
- D. Olsen
- Stéphane Herbin
- Ben Hutchinson
- Jean-Yves Audibert
- Anne-Marie Tousch
- Jerry Alan Fails
- Vinodkumar Prabhakaran
In Information Retrieval & Search
Citations in the corpus
- Interactive machine learning (2003, background): “Although the IML and the machine-learning component of Crayons are the primary discussion of this paper it is notable to mention that Crayons has profited from work done by Viola and Jones [19] and Jaimes and Chang [5,6,7].”
- Underspecification in Scene Description-to-Depiction Tasks (2022, background): “This distinction is closely related to that between conceptual descriptions and non-visual descriptions made by Hodosh et al. (2013), building on prior work on image indexing (Jaimes and Chang, 2000).”
- Semantic hierarchies for image annotation: A survey (2012, background): “Eakins et al. [26] show different aspects of abstraction, which somehow can be related to the scene's generic, specific, and abstract levels of Jaimes and Chang [51].”