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.
|Journal||IEEJ Transactions on Electronics, Information and Systems|
|Publication status||Published - 2009 Jan 1|
- Information search system
- Object category recognition
ASJC Scopus subject areas
- Electrical and Electronic Engineering