63 search results - page 1 / 13 » A Four-Factor User Interaction Model for Content-Based Image... |
ICTIR
2009
Springer
13 years 11 months ago
2009
Springer
In order to bridge the “Semantic gap”, a number of relevance feedback (RF) mechanisms have been applied to content-based image retrieval (CBIR). However current RF techniques i...
AIRS
2009
Springer
13 years 8 months ago
2009
Springer
Abstract. This paper presents an interactive content-based image retrieval framework--uInteract, for delivering a novel four-factor user interaction model visually. The four-factor...
SPIESR
1998
13 years 5 months ago
1998
Content-Based Image Retrieval (CBIR) has become one of the most active research areas in the past few years. Many visual feature representations have been explored and many system...
ICIP
1999
IEEE
14 years 6 months ago
1999
IEEE
A neural network scheme is presented in this paper for adaptive video indexing and retrieval. First, a limited but characteristic amount of frames are extracted from each video sc...
ICMCS
2000
IEEE
13 years 9 months ago
2000
IEEE
Relevance feedback [1] has been a powerful tool for interactive Content-Based Image Retrieval (CBIR). During the retrieval process, the user selects the most relevant images and p...