METHOD SYSTEM AND COMPUTER PROGRAM FOR SEMANTIC IMAGE RETRIEVAL BASED ON TOPIC MODELING

摘要

The present invention relates to a method, system and computer program for semantic image retrieval. The present invention provides a method for retrieving an image corresponding to a query image or a search keyword from one or more database images stored in a database. Step, distribution of visual words by subject using the visual word and the text word ( ), Distribution of text words by topic ( ) And the distribution of visual words in the background ( Estimating a model parameter of the background distribution topic model including the subject distribution, and subject distribution of the database image using the background distribution topic model including the estimated model parameter. ), Wherein the topic text word distribution ( ) And percentage of topics in the image ( Calculating a correspondence degree of the tag with respect to the database image, refining the tag accordingly, obtaining one or more visual words from the query image when a search request including the query image is input, Subject distribution of the query image using the background distribution topic model including the estimated model parameters ( ), Subject distribution of the database image ( ) And the subject distribution of the query image in the database ( Evaluating the similarity of the database image by using RTI ID = 0.0 ). / RTI According to the present invention, millions of images can be efficiently searched using text or images.