71 search results - page 10 / 15 » Integrating Relevance Feedback in Boosting for Content-Based... |
TKDE
2008
13 years 6 months ago
2008
Relevance feedback (RF) is an iterative process, which refines the retrievals by utilizing the user's feedback on previously retrieved results. Traditional RF techniques solel...
ICIP
2000
IEEE
14 years 7 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...
MM
2009
ACM
14 years 17 days ago
2009
ACM
Experiential image retrieval systems aim to provide the user with a natural and intuitive search experience. The goal is to empower the user to navigate large collections based on...
PR
2002
13 years 5 months ago
2002
A statistical correlation model for image retrieval is proposed. This model captures the semantic relationships among images in a database from simple statistics of userprovided r...
TKDE
2008
13 years 6 months ago
2008
One of the fundamental problems in Content-Based Image Retrieval (CBIR) has been the gap between low-level visual features and high-level semantic concepts. To narrow down this gap...