Hierarchical object category recognition technique for image based search system

In this paper, we present an object category recognition method for an information search system which is queried by camera of mobile phone or by servers of internet services. In such a system, processing speed is an important requirement. To improve processing speed, the hierarchical object category recognition technique proposed by Serre⁽²³⁾ is modified using Haar-Like features, vector quantization of feature models, and reduction of processing area. In addition, by retaining the information of each feature' s position, it compensates the accuracy which is a little reduced in exchange of processing speed. We implemented this method to web server, and proved this system can work in practical processing time. Through the experiment for Caltech-101 image database and natural scene category images, we also confirm the accuracy of our approach.