By the same authors

Natural Scene Image Recognition by Fusing Weighted Colour Moments with Bag of Visual Patches on Spatial Pyramid Layout

Research output: Contribution to conferencePaper

Author(s)

Department/unit(s)

Conference

Conference9th International Conference on Intelligent Systems Design and Applications (ISDA 2009)
CountryItaly
CityPisa
Conference date(s)30/11/092/12/09

Publication details

DatePublished - 30 Dec 2009
Original languageEnglish

Abstract

The problem of object/scene image classification has gained increasing attention from many researchers in computer vision. In this paper we investigate a number of early fusion methods using a novel approach to combine image colour information and the bag of visual patches (BOP) for recognizing natural scene image categories. We propose keypoints density-based weighting method (KDW) for merging colour moments and the BOP on a spatial pyramid layout. We found that the density of keypoints located in each image sub-region at specific granularity has noticeable impacts on deciding the importance of colour moments on that image sub-region. We demonstrate the validity of our approach on a six categories dataset of natural scene images. Experimental results have proved the effectiveness of our proposed approach.

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