126 search results - page 9 / 26 » Relevance Feedback in Content-based Image Search |
PRIS
2001
13 years 9 months ago
2001
: Content-based image retrieval (CBIR) is a research area dedicated to address the retrieve and search multimedia documents for digital libraries. Relevance feedback is a powerful ...
INEX
2005
Springer
14 years 1 months ago
2005
Springer
Retrieving information from heterogeneous data sources in a flexible manner and within a single (database) framework is still a challenge. In this paper we present several extensi...
CIVR
2006
Springer
13 years 11 months ago
2006
Springer
Aspect-based relevance learning is a relevance feedback scheme based on a natural model of relevance in terms of image aspects. In this paper we propose a number of active learning...
ICIP
2000
IEEE
14 years 9 months ago
2000
IEEE
Content-Based Image Retrieval (CBIR) is one of the most active research areas in recent years. Many visual feature representations have been explored and many systems built. Howev...
NIPS
2004
13 years 9 months ago
2004
High retrieval precision in content-based image retrieval can be attained by adopting relevance feedback mechanisms. These mechanisms require that the user judges the quality of t...