256 search results - page 1 / 52 » A two-level relevance feedback mechanism for image retrieval |
ICMCS
2005
IEEE
13 years 10 months ago
2005
IEEE
This paper presents a novel platform for image retrieval based on a two-level architecture inspired from human cognitive mechanisms. These two levels provide both generic similari...
ESWA
2008
13 years 4 months ago
2008
Content-based image retrieval (CBIR) is a group of techniques that analyzes the visual features (such as color, shape, texture) of an example image or image subregion to find simi...
NIPS
2004
13 years 6 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...
MM
2006
ACM
13 years 10 months ago
2006
ACM
Relevance feedback (RF) has been extensively studied in the content-based image retrieval community. However, no commercial Web image search engines support RF because of scalabil...
CIVR
2007
Springer
13 years 11 months ago
2007
Springer
Content-based image retrieval with relevant feedback has been widely adopted as the query model of choice for improved effectiveness in image retrieval. The effectiveness of thi...