mining weakly labeled web facial images for search based face annotation

1.  Mining Weakly Labeled Web Facial
Images for Search-Based Face
Annotation

2. ABSTRACT:
 Auto face annotation is playing vital role in many real-world
knowledge management systems and multimedia information.
 To solve general content based face annotation problem, The
ULR is used for refining the web facial images.
 Clustering based approximation improve the performance of
search based face annotation scheme.

3. ARCHITECTURE :

4. Search Based Face
Annotation:
 ULR algorithm To enhance the label quality.
 Clustering-based approximation solution To
improve the scalability

5. Unsupervised Label refinement
 To refine the web facial images using search based where face image
as query image.
 The unsupervised label refinement algorithm which enhanced new
label matrix

6. Clustering based approximation
 To improve the performance of search based face annotation
scheme.
 Images are grouped into clusters for refining process more easier.
 It provides high performance with clusters instead of refining
single image annotation