View
233
Download
1
Tags:
Embed Size (px)
Citation preview
A novel log-based relevance feedback technique in content-based image retrievalReporter: Francis
2005/6/2
2
Outline
1. Introduction
2. Log-based relevance feedback
3. Support vector machines
4. Log-based relevance feedback using SLSVM
5. Experiment results
3
1. Introduction
CBIR’s research:
1. Feature analysis and similarity measure: Semantic gap between features and human
perceptions.
2. Building the image Indexing with textual descriptions.
3. Relevance feedback
4
2. Log-based relevance feedback
Traditional approach:Query expansion (QEX)[6]: It’s good for
document retrieval but poor in image retrieval. Log-based relevance feedback:
Relevance matrix (RM)Defining correlations between images
5
2. Log-based relevance feedback
One given example may be with different relationship value confidence degrees
9
4.2 LRF algorithm by SLSVM
Training example selection:Using R(i,j)
Adding N’ positive and negative training example ranking by S+ and S-.