Long-term similarity learning in content-based image retrieval
J Fournier, M Cord - Proceedings. International Conference on …, 2002 - ieeexplore.ieee.org
This paper presents a new learning technique for the similarity model refinement in CBIR
systems. We propose a whole retrieval strategy based on a new relevance feedback …
systems. We propose a whole retrieval strategy based on a new relevance feedback …
Semantic kernel updating for content-based image retrieval
PH Gosselin, M Cord - IEEE Sixth International Symposium on …, 2004 - ieeexplore.ieee.org
A lot of relevance feedback methods have been proposed to deal with content-based image
retrieval (CBIR) problems. Their goal is to interactively learn the semantic queries that users …
retrieval (CBIR) problems. Their goal is to interactively learn the semantic queries that users …
Extracting Semantics Through Dynamic Context
In this chapter, we introduce an MPEG-7 friendly system to extract semantics of aerial image
regions semiautomatically, through the mediation of user feedback. Geographic information …
regions semiautomatically, through the mediation of user feedback. Geographic information …
Content-based image retrieval based on emergence index
S Deb - 2003 - research.usq.edu.au
Emergence is a phenomenon where we study the implicit or hidden meaning of an image.
We introduce this concept in image database access and retrieval of images using his as an …
We introduce this concept in image database access and retrieval of images using his as an …