A Fusion of Bag of Word Model and Hierarchical K Means+ in Image Retrieval
This paper proposes an Image Retrieval method using the Bag of Word model combining with Hierarchical K Means+ algorithm to store and arrange databases, called BoW HKM+ approach. A Hierarchical tree is proposed to improve the processing speed in retrieval data. In this research: (1) we first build a bag of word model based on SIFT feature extraction on images; (2) then show its improvement by using inverted index technical for whole feature databases; (3) the Hierarchical K Means+ algorithm is also proposed in the bag of word model to optimize retrieval system. Experiment results were evaluated with k fold cross validation method on 2 datasets of James Z. Wang Research Group. Finally, the obtained results will be compared with other method and discussed to prove the effectiveness of proposed framework in Image Retrieval problems.
IUKM