Image categorization based on spatial visual vocabulary model

Yuxin Wang; Changqin He; He Guo; Zhen Feng; Qi Jia

doi:10.1117/12.867045

20 August 2010 Image categorization based on spatial visual vocabulary model

Yuxin Wang, Changqin He, He Guo, Zhen Feng, Qi Jia

Proceedings Volume 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering; 78202P (2010) https://doi.org/10.1117/12.867045
Event: International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 2010, Xi'an, China

Abstract

In this paper, we propose an approach to recognize scene categories by means of a novel method named spatial visual vocabulary. Firstly, we hierarchically divide images into sub regions and construct the spatial visual vocabulary by grouping the low-level features collected from every corresponding spatial sub region into a specified number of clusters using k-means algorithm. To recognize the category of a scene, the visual vocabulary distributions of all spatial sub regions are concatenated to form a global feature vector. The classification is obtained using LIBSVM, a support vector machine classifier. Our goal is to find a universal framework which is applicable to various types of features, so two kinds of features are used in the experiments: "V1-like" filters and PACT features. In almost all experimental cases, the proposed model achieves superior results. Source codes are available by email.

Citation Download Citation

Yuxin Wang, Changqin He, He Guo, Zhen Feng, and Qi Jia "Image categorization based on spatial visual vocabulary model", Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78202P (20 August 2010); https://doi.org/10.1117/12.867045

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