Academic Journals Database
Disseminating quality controlled scientific knowledge

AUTOMATIC IMAGE ANNOTATION USING WEAKLY SUPERVISED GRAPH PROPAGATION

ADD TO MY LIST
 
Author(s): 1Kalaivani.R, Thamaraiselvi.K

Journal: International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
ISSN 2278-1323

Volume: 2;
Issue: 2;
Start page: 855;
Date: 2013;
VIEW PDF   PDF DOWNLOAD PDF   Download PDF Original page

Keywords: POM | WSG | BSVM | MRF | CCCP

ABSTRACT
Weakly supervised graph propagation is a method to automatically assign the annotated labels to semantically derived a semantic region. Inputs given are, the training images directory, the labels which are pre-assigned, and the Input Image .In this section, the graph Construction is done with the help of two types of relationships. Consistency Relationship mining, Incongruity Relationship mining. Propagate image labels from patches. The factors needed to be considered are, Patch Label Self-Constraints. Patch–Patch Contextual Relationships, Image-Patch Inclusion Supervision, the supervisions are the supervised and un supervised technique.
Why do you need a reservation system?      Affiliate Program