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HDR (high dynamic range) imaging is to obtain HDR image by fusing a few LDR (Low dynamic range) images with different dynamic range together. Due to the difference in the dynamic ranges between acquired image and actual scene, overexposure and underexposure may appear in HDR images obtained. Thus, the detail information of images may get lost in the result image This paper proposes a method to relieve...
In the recent years, contour-based shape representation is an important issue in the object recognition research area. In this paper, a new shape descriptor A-DCE is proposed based on DCE and DP for contour deformation and recognition. Firstly, the object contour is evolved adaptively by DCE to extract the contour information with important visual parts. Secondly, the costing feature descriptor is...
The paper presents a spatial pooling technique for image quality assessment (IQA) that is based on the idea that the adaptive mechanisms of luminance and contrast in the early vision operate independently. The work is motivated by recent vision science studies on this topic that have not been investigated yet in the field of IQA. The Structural SIMilarity index (SSIM) has been selected as the base...
Compared to HD (high definition), UHD (ultra-high definition) video provides higher visual quality. However, artefacts in UHD content are more apparent due to increased spatial resolution. False contouring is one of the visual artefacts in compressed UHD video sequences which affect the visual experience. This paper proposes a dithering method to remove the visual contouring while keeping artefact-free...
Visual cryptography is one of the emerging technology which has been used for sending secret images in highly secure manner without performing the complex operations while encoding. This technology can be used in the many fields like transferring military data, financial scan documents, sensitive image data and so on. In the literature different methods are used for black and white image which produce...
In this paper, we propose a new visual inspection method that can analyze the exterior surface of rubber tires with the light stripe projection. Image sensing of the tire surface was implemented by setting the tire on the rotating table so that the normal pattern of the tire surface could be suppressed. The proposed method detects the exterior thin defect after removing three kinds of uneven circularities...
The traditional SSIM haven't considered the limitation of the Human Visual System, which different attention paid to different area in the same picture, and information of the picture itself, leading to the final results are inconsistent between objective and subjective evaluating effects. A new image weighted index, which is regional weighted information entropy index, is put forward to solve this...
It appears that the mirror neuron system plays a crucial role when learning by imitation. However, it remains unclear how mirror neuron properties develop in the first place. A likely prerequisite for developing mirror neurons may be the capability to transform observed motion into a sufficiently self-centered frame of reference. We propose an artificial neural network (NN) model that implements such...
The proposed framework is to treat the process of no-reference blur assessment as a matching process between the psychophysical features of the test image and memory existing common representations of clear images. The proposed framework has three key stages: knowledge of reality accumulation stage, hierarchy features extraction stage, and feature matching and blur metric computation stage. The knowledge...
Audio-Games (AGs) are electronic games that mainly (or exclusively) implement auditory means to express the game's plot, mechanics and content. AG players need to concentrate on perceiving sound, in order to understand and play the game. Recent developments in the field of edutainment suggest that AGs can be implemented not only as entertaining systems, but also as valid tools for research and education...
Edge preservation ratio (EPR) is a full-reference metric for objective image quality assessment (IQA). It is under the assumption that key messages to human visual systems are mainly from image structures, and these structures can be extracted by edge detection. EPR measure is twofold: accuracy and robustness, and a color map is synthesized to reveal structure changes before and after image processing...
Web databases contain a huge amount of structured data which are easily obtained via their query interfaces only. The query results are presented in dynamically generated web pages, usually in the form of data records, for human use. The automatical web data extraction is critical in web integration. A number of approaches have been proposed. The early work are most based on the source code or the...
Motor control deficits during aging have been well-documented. Various causes of neuromotor decline, including both peripheral and central neurological deficits, have been hypothesized. Here, we use a model of closed-loop sensorimotor control to examine the functional causes of motor control deficits during aging. We recruited 14 subjects aged 19–61 years old to participate in a study in which they...
Although keyword spotting (KWS) technologies have been successfully applied to some applications, most KWS systems have a common problem of noise-robustness when applied to real-world environments. Audio-visual keyword spotting (AVKWS) using both acoustic and visual information is a solution to complementarily solve the problem. Most existing audio-visual speech recognition (AVSR) systems extract...
Patients waiting for heart transplantation due to a failing heart can get a left ventricular assist device (LVAD) implanted through open chest surgery. The device consists of a pump that pumps blood from the left ventricle into the aorta. To get the correct rotation speed of the pump, the physicians consider a number of measurements as well as a sequence of echocardiographic images. The important...
Vector field visualization is an important aid to help user understand data of complex spatial features in scientific and engineering applications. This paper summarizes relative researches on vector field visualization completely and systematically, gives an induction on major techniques, compares their advantages and shortcomings, and introduces some representative related or cross-over studies...
The EEG (electronencephalogram) conduction process is studied in this paper, which is based on steady-state visual evoked and hand movement working mechanism. The mathematical model is built for the generation of SSVEP (steady-state visual evoked potential). The model of the advanced central nervous system is built by using Jansen method. Finally, the results of numerical simulation showed that VEP...
In this paper, a novel subspace learning algorithm is proposed for robust visual tracking. Different from conventional sub-space based trackers, which first estimate the dimension of the subspace and then pursuit its basis to construct the subspace projection in appearance model, our method directly learns a low-rank projection with known ranks as subspace dimension to model the subspace structure...
Visual attention is an important function of the human visual system (HVS). In the long term research of visual attention, various computational models have been proposed with encouraging results. However, most of those work were conducted on images with ideal visual quality. In practice, outputs of most visual communication systems contain different levels of artifacts, e.g. noise, blurring, blockiness...
User-provided image tags are usually incomplete or noisy to describe the visual content of corresponding images. In this paper, we consider defective tagging which covers both incomplete and noisy situations, and address the problem of tag completion where tag assignments of training images are defective. While previous studies on tag completion usually assign equal penalty to empirical loss when...
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