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This paper introduces region of interest (ROI) as a functionality to local tone mappings of high dynamic range (HDR) radiance maps. In the proposed scheme, a new quadratic regularization method is provided to decompose the luminance of an HDR radiance map into a base layer with large gradients and a detail layer with small gradients. An ROI based global tone mapping is designed to compress the base...
To improve the clearness of images captured in the low illumination environment, a new enhancement algorithm was presented based on the popular histogram equalization method. It can transform the histogram to the ordered shape to highlight the contrast of selected interest gray level and fit for the human visual. The experiment has shown that the new algorithm has lower mean square error and higher...
The paper evaluates quality of medical image fusion by measuring definition of fused image and the amount of edge and texture information transferred from source images to fused image. Considering the unique characteristic of medical image, expert knowledge is brought into the model to weight source images during the process of evaluation. Experiments prove that, the model can accomplish tasks of...
This paper presents a new technique, used to register two images of the same modality and that are assumed to be differ from each other, by a rotation and a scale. Recently, researchers have introduced image registration techniques using log-polar transform for its scale and rotation invariant properties. However, it suffers from non-uniform sampling and it leads to inaccurate registration. Inspired...
In this paper we explore the application of Genetic Programming (GP) to the problem of domain-independent image feature extraction and classification. We propose a new GP-based image classification system that extracts image features autonomously, and compare its performance against a baseline GP-based classifier system that uses human-extracted features. We found that the proposed system has a similar...
We present a novel method for the creation of photographic mosaic images using fractals generated via evolutionary techniques. A photomosaic is a rendering of an image performed by placing a grid of smaller images that permit the original image to be visible when viewed from a distance. The problem of selecting the smaller images is a computationally intensive one. In this study we use an evolutionary...
Considering the simplicity and fast training speed of Haar-like features, the high detecting precision of HOG features, a combined method is proposed on the basis of the two features. Several rectangular features which can describe local human characteristics based on original features are added. The combined method can retain the precision of HOG features and increase the speed of detection at the...
To better protect the security of information, this paper proposed an information transmission scheme which combined the cryptosystem and information hiding. The scheme pretreated the information firstly by making use of the RSA arithmetic which belongs to the public key cryptosystem, and then took advantage of the improved LSB which based on the Human Visual System to make the cryptograph hid in...
We propose a novel 2D to 3D scheme by considering perceived 3D experience caused by occlusion and visual attention. In this scheme, initial depth model, the saliency map of visual attention and occlusion analysis are integrated in depth calculation. Mean-while, characteristics of human visual system are also considered as weight factors. Then, depth normalization and refining are implemented. The...
Consecutive corrupted MBs or slice errors are commonly seen in modern video transmission systems. Temporal error concealment is an effective approach to reduce the impact of errors. Conventional temporal error concealment techniques recover slice errors on a MB basis. We propose a new novel temporal scheme for slice error concealment based on a size-adaptive region basis. Size-adaptive region boundary...
This paper introduces a tuning algorithm of self-quotient ε-filter (SQEF) and support vector machine (SVM), and its application to noise robust human detection combining SQEF, histograms of oriented gradients (HOG), and SVM. Although human detection combining HOG and SVM is a powerful approach, as it uses local intensity gradients, it is difficult to handle noise corrupted images. On the other hand,...
Human detection in video streams is an important task in many applications including video surveillance. Surprisingly, only few papers have been devoted to this topic.
In this paper, we present a generic watermarking framework that employs perceptual modeling to embed a watermark in such a way that it cannot be perceived. Our approach consists in building computational models which take into account the most common properties of the HVS (Human Visual System) that can be exploited for watermarking. We describe two ways a perceptual model can be incorporated into...
Detecting stationary human targets is crucial in ensuring safe operation of unmanned ground vehicles. In this paper, a multi-stage detection algorithm for stationary humans in infrared imagery is proposed. This algorithm first applies an efficient feature-based anomalies detection algorithm to search the entire input image, which is followed by an eigen-neural-based clutter rejecter that examines...
Cashiers in retail stores usually exhibit certain repetitive and periodic activities when processing items. Detecting such activities plays a key role in most retail fraud detection systems. In this paper, we propose a highly efficient, effective and robust vision technique to detect checkout-related primitive activities, based on a hierarchical finite state machine (FSM). Our deterministic approach...
Two dimensional human body pose modelling system detects the human body parts, estimates their posture and then models them in an image plane using specified shape. In this paper, two windowing techniques are presented and then compared for the human head and torso pose modelling. The first technique, namely Windowing technique I estimates the torso followed by the head of the human. In this technique,...
A new method for scale-aware saliency detection is introduced in this work. Scale determination is realized through a fast scale-space algorithm using color and texture. Scale information is fed back to a Discriminant Saliency engine by automatically tuning center-surround parameters. Excellent results are demonstrated for predicted fixations using a public database of measured human fixations. Further...
In this paper, a perceptual multiview video coding scheme is proposed, based on the synthesized Just Noticeable Distortion (JND) maps. In JND-based perceptual video coding, the residues after intra or inter prediction are tuned according to the corresponding JND thresholds to save the bits without affecting the perceptual quality. In our scheme, to reduce the computational cost of generating the multiview...
In this paper, recognizing human actions has been investigated from video sequences. With morphological gradient and pooling operation, invariant shape of each human body in an action sequence is obtained. Edge feature of invariant shape is extracted to represent human actions. Pyramid Histograms of Orientation Gradients (PHOG) of all invariant shapes in video are averaged to form a feature vector...
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