We present a comprehensive evaluation of performance of visual feature representations for MediaEval 2011 Violent Scenes Detection Task. As for global features, color moments, color histogram, edge orientation histogram, and local binary patterns are used. As for local features, keypoint detectors such as Harris Laplace, Hessian Laplace, Harris Affine, Dense Sampling are used to extract keypoin...

In this paper, we adopt local Fourier transform as a texture representation scheme and derive eight characteristic maps for describing different aspects of co-occurrence relations of image pixels in each channel of the (SVcosH, SVsinH, V) color space. Then we calculate the first and second moments of these maps as a representation of the natural color image pixel distribution, resulting in a 48...

To prevent pornography from spreading on the Internet effectively, we propose a novel method of adult image detection which combines bag-ofvisual-words (BoVW) based on region of interest (ROI) and color moments (CM). The goal of BoVW is to automatically mine the local patterns of adult contents, called visual words. The usual BoVW method clusters visual words from the patches in the whole image...

In content-based image retrieval, the representation of local properties in an image is one of the most active research issues. This paper introduces a salient region detector based on wavelet transform. The detector can extract the visually meaningful regions on an image and reflect local characteristics. An annular segmentation algorithm based on the distribution of salient regions is designe...

This paper proposes an automated system for rotation and scale invariant color logo recognition. Colored logo images are recognized using one shape feature namely Moments Invariant and a color feature namely Color Moments. Shape of the logo is modeled using the first two central normalized Hu's invariant moments while color is modeled using the mean, standard deviation, skewness and kurtos...

In this paper, a color image retrieval method based on the primitives of color moments will be proposed. First, an image is divided into several blocks. Then, the color moments of all blocks are extracted and clustered into several classes. The mean moments of each class are considered as a primitive of the image. All primitives are used as features. Since two different images may have differen...

Moments and moment invariants have become a powerful tool in pattern recognition and image analysis. Conventional methods to deal with color images are based on RGB decomposition or graying, which may lose some significant color information. In this paper, by using the algebra of quaternions, we introduce the quaternion Zernike moments (QZMs) to deal with the color images in a holistic manner. ...

This paper presents the participation of our group in the ImageCLEF 2012 Photo Annotation Task. Our approach is based on visual and textual features as we experiment with different strategies in order to extract the semantics inside an image. First, we construct a textual dictionary of tags using the most frequent words present in the user tag annotated images from the training data sets. A lin...

Generalised color moments combine shape and color information and put them on an equal footing. Rational expressions of such moments can be designed, that are invariant under both geometric deformations and photometric changes. These generalised color moment invariants are effective features for recognition under changing viewpoint and illumination. The paper gives a systematic overview of such...

Image retrieval is an important research field, which has received great attention in the last decades. The main purpose of research in this field is to improve the process of finding the desired image in the large and variable database. In this paper, we present an approach for the image retrieval based on the combination of text-based and content-based features. For text-based features, keywo...