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This letter introduces a simple method for including invariances in support-vector-machine (SVM) remote sensing image classification. We design explicit invariant SVMs to deal with the particular characteristics of remote sensing images. The problem of including data invariances can be viewed as a problem of encoding prior knowledge, which translates into incorporating informative support vectors...
In image classification, the most powerful statistical learning approaches are based on the Bag-of-Words paradigm. In this article, we propose an extension of this formalism. Considering the Bag-of-Features, dictionary coding and pooling steps, we propose to focus on the pooling step. Instead of using the classical sum or max pooling strategies, we introduced a density function-based pooling strategy...
Recently, spatial pyramid matching (SPM) has achieved leading performance in scene classification. In SPM, spatial information of local features is integrated into representation by computing histograms of local features over increasingly fine regular grids on an image. But this spatial information encoding scheme is very restrictive, because it assumes that images from same scene category have similar...
The effect of changing the image resolution over a biometric system based on hand geometry is analyzed in this paper. Image resolution is progressively diminished from an initial 120 dpi resolution up to 24 dpi. The robustness of the examined system is analyzed with 2 databases and two identifiers. The first database acquires the images of the hand underneath whereas the second database acquires the...
Image spam is a new obfuscating method which spammers invented to more effectively bypass conventional text based spam filters. In this paper, a framework for filtering image spams by using the Fourier-Mellin invariant features is described. Fourier-Mellin features are robust for most kinds of image spam variations. A one-class classifier, the support vector data description (SVDD), is exploited to...
This paper proposed a blind digital image watermark analysis algorithm, which is to analyze watermarks in host images without any prior-watermarking embedding and detection information. In the proposed algorithm, DWT is firstly used to decompose images into detail subbands, and noise visibility function is used to enhance the detail subbands, then non-negative matrix factorization (NMF) is used to...
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