The ready availability of image-editing software makes ensuring the authenticity of images an important issue. The most common type of image tampering is cloning, or Copy-Move Forgery (CMF), in which part(s) of the image are copied and pasted back into the same image. One possible transformation is where an object is copied, rotated and pasted; this type of forgery is called Copy-Rotate-Move Fo...

Estimation of human orientation is considered a key configuration to study and understand human behaviours. There have been many works focusing on this. However, most of previous works are sensor-based technologies but visual-based technologies. In this paper, we proposed a method to estimate the orientation of human in a given image patch. We have observed the performance of a feature called H...

Orientation-invariant feature descriptors are widely used for image matching. We propose a new method of computing and comparing Histogram of Gradients (HoG) descriptors which allows for re-orientation through permutation. We do so by moving the orientation processing to the distance comparison, rather than the descriptor computation. This improves upon prior work by increasing spatial distinct...

Human texture perception relies on a few basic high-level features including directionality and symmetry. Today, research on oriented patterns finds its applications in various areas of applied machine vision. In this study, we present and investigate a new method for assessing pattern anisotropy via texture symmetry. Pattern orientation is viewed as the direction of persistent statistical text...

To better cope with the significant nonlinear radiation distortions (NRD) and severe rotational in multi-modal remote sensing image matching, this paper introduces a rotationally robust feature-matching method based on maximum index map (MIM) 2D matrix, which is called rotation-invariant local phase orientation histogram (RI-LPOH). First, feature detection performed weighted moment equation. Th...

Multi-source image registration is challenging due to intensity, rotation, and scale differences among the images. Considering characteristics of multi-source remote sensing images, a feature-based algorithm named Multi-scale Histogram Local Main Orientation (MS-HLMO) proposed. Harris corner detection first adopted generate feature points. The HLMO each point extracted on Partial Map (PMOM) wit...

We present a comprehensive evaluation of performance of shot-based visual feature representations for MediaEval 2012 Violent Scenes Detection Affect Task. In spite of using keyframe-based as last year, we try to apply shot-based features using the global features (color moments, color histogram, edge orientation histogram, and local binary patterns) for violent scenes detection. Besides that, w...

A correlation map shows the correlation between an image region and another image computed at the neighbourhood of each point of the second image. Most cross-correlation techniques fail when the viewpoint rotation grows over a certain value, usually around 20 degrees. The approach presented here aims at resolving this problem and at the same time provide an estimate of the actual rotation. This...

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...

A novel mechanism to simulate visual attention mechanisms for content-based image retrieval, based on saliency structure histogram method was proposed in this paper. In CBIR, images are indexed by their visual content, such as color, texture, shapes. A color volume with edge information together is used to detect saliency regions. The texture image features, such as energy, inverse difference m...