Scholarly Research Excellence
@article{(International Science Index):http://waset.org/publications/17351,
  title    = {Composite Relevance Feedback for Image Retrieval},
  author    = {Pushpa B. Patil and  Manesh B. Kokare},
  country   = {},
  institution={},
  abstract  = {This paper presents content-based image retrieval (CBIR) frameworks with relevance feedback (RF) based on combined learning of support vector machines (SVM) and AdaBoosts. The framework incorporates only most relevant images obtained from both the learning algorithm. To speed up the system, it removes irrelevant images from the database, which are returned from SVM learner. It is the key to achieve the effective retrieval performance in terms of time and accuracy. The experimental results show that this framework had significant improvement in retrieval effectiveness, which can finally improve the retrieval performance.
},
    journal   = {International Journal of Computer, Electrical, Automation, Control and Information Engineering},  volume    = {7},
  number    = {1},
  year      = {2013},
  pages     = {141 - 147},
  ee        = {http://waset.org/publications/17351},
  url       = {http://waset.org/Publications?p=73},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 73, 2013},
}