116 search results - page 1 / 24 » Learning Feature Weights from User Behavior in Content-Based... |
KDD
2000
ACM
13 years 8 months ago
2000
ACM
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...
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...
CISST
2004
13 years 5 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
13 years 8 months 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...