Semantic Class-Based Image Indexing

Definition:In a unique Class Relative Indexing (CRI) scheme, image classification is a means to compute inter-class semantic image indexes for similarity-based matching and retrieval.

A natural and useful insight is to formulate image retrieval as a classification problem. In very general terms, the goal of image retrieval is to return images of a class C that the user has in mind based on a set of features computed for each image x in the database. In probabilistic sense, the system should return images ranked in the descending return status value of P(C|x), whatever C may be defined as desirable. For example, a Bayesian formulation to minimize the probability of retrieval error (i.e. the probability of wrong classification) had been proposed [1] to drive the selection of color and texture features and to unify similarity measures with the maximum likelihood criteria.

Image classification or class-based retrieval approaches are adequate for query by predefinedimage class. However,...