116 search results - page 1 / 24 » Learning Feature Weights from User Behavior in Content-Based... |
KDD
2000
ACM
14 years 2 days ago
2000
ACM
ICMCS
2000
IEEE
14 years 27 days 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...
ICIP
1999
IEEE
14 years 10 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...
CISST
2004
13 years 10 months ago
2004
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
VISUAL
1999
Springer
14 years 23 days ago
1999
Springer
This paper describes the application of techniques derived from text retrieval research to the content-based querying of image databases. Speci cally, the use of inverted les, fre...