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Generally the surveillance system wireless camera is used to monitor the object in heavy traffic in secured way and it also support satellite communication to broadcast the tracked object information to others. It is used to reduce computational delay in real time detection and tracking videos. In object detection and tracking system detection and background separation is very important role, here...
The stimulus flickering at specific frequencies, or as known as steady-state visually evoked potential (SSVEP), can be recorded on an occipital area of the brain. SSVEP is used to interpret the EEG signal to detect the desired goal of the experiment. In this paper, we aim to investigate SSVE signal by means of magnitude-squared coherence (MSC) analysis between the red and green visual stimuli. In...
Visual Cryptography is a technique, which is used to conceal the secret image into transparencies and these transparencies are distributed to the intended recipients. They demonstrated a visual secret sharing scheme, where an image was broken up into n shares so that only someone with all n shares could decrypt the image, while any n−1 shares revealed no information about the original image. In this...
In this paper, we focus on studying the effects of various image operations on sensor fingerprint camera identification. It is known that artifacts in the image processing pipeline, such as pixel defects or unevenness of the responses in the CCD array as well black current noise leave telltale footprints. Nowadays, camera identification based on the analysis of these artifacts is a well established...
The color constancy problem is addressed by structured-output regression on the values of the fully-connected layers of a convolutional neural network. The AlexNet and the VGG are considered and VGG slightly outperformed AlexNet. Best results were obtained with the first fully-connected “fc6” layer and with multi-output support vector regression. Experiments on the SFU Color Checker and Indoor Dataset...
This paper describes three metrics used to asses the filter diversity learned by convolutional neural networks during supervised classification. As our testbed we use four different data sets, including two subsets of ImageNet and two planktonic data sets collected by scientific instruments. We investigate the correlation between our devised metrics and accuracy, using normalization and regularization...
The divergence similarity between two color images is presented based on the Jensen-Shannon divergence to measure the color-distribution similarity. Subjective assessment experiments were developed to obtain mean opinion scores (MOS) of test images. It was found that the divergence similarity and MOS values showed statistically significant correlations.
In free viewpoint video (FVV) framework, a large number of viewpoints from limited number of views are generated to reduce the amount of transmitting, receiving and processing video data significantly. To generate a virtual view, the disparity among adjacent views or temporal correlation between different frames of the intermediate views are normally exploited. Those techniques may concern poor rendering...
With the increasing availability of multi-view nonnegative data in practical applications, multi-view learning based on nonnegative matrix factorization (NMF) has attracted more and more attentions. However, previous works are either difficult to generate meaningful clustering results in terms of views with heterogeneous quality, or sensitive to noise. To address these problems, we propose a co-regularized...
Person re-identification aims to match people across non-overlapping camera views. One of the challenges in re-identification is cross view matching, where the gallery and query data belong to different views. This problem is difficult because the person's appearance varies greatly due to significant viewpoint and poses changes. In this paper, we perform Kernel Canonical Correlation Analysis (KCCA)...
This article presents a new method of image analysis with steganographic inserts based on hierarchy analysis method. Images with applied algorithm of replacing the least significant bit (LSB) are investigated. Detection is performed by dividing the image into layers and making an analysis of zero-layer of adjacent bits for every bit. First-layer and second-layer are analyzed too. Hierarchies analysis...
A field experiment was carried out to explore the feasibility of visible image processing technique in rice nitrogen nondestructive diagnosis. Based on the image processing technology of visible light, this study investigated the relationship between the nitrogen status of rice and the greenness of rice leaves, which are captured by digital camera. Data were collected on Luhan 1 rice variety and included...
The notion of subjective image quality (SIQ) is particularly difficult to define as it depends on a large variety of physical attributes and psycho-physical factors. One important attribute which SIQ depends on is the illumination under which visual stimuli are observed. Recent studies have shown that achromatic fidelity (i.e. perceived resemblance in lightness) is significantly less dependent on...
Digital image correlation (DIC) is a photogrammetric method that allows reconstruction of displacement and strain fields from the surface images. The displacements and strains are reconstructed by correlating sections (subsets) of the reference and deformed images generally taken before and after deformation respectively. Traditionally, DIC is applied to grayscale images taken with monochromatic cameras,...
In this study, a modified ant colony optimization algorithm has been proposed to find a feature subset most relevant to the classification task. The algorithm incorporates a new heuristic information component based on classification accuracy. The proposed methodology has been applied in a multiclass classification problem of capsule endoscopic images, where image regions will be classified as bleeding,...
Nowadays, the rapid growth of World Wide Web has been resulted in an exponential growth of the data and visual information with full of interesting bits of contents that can be found online. In such situations, finding out images that satisfy user intentions from a huge collection is more and more required, which emphasizes the importance of web image search and visual information ranking system as...
Previous empirical studies have analyzed emotional responses to form and color, across a variety of contexts and across cultures. Recently Amare and Manning proposed a systematic model that identifies a spectrum of emotional quality (agitation-amusement-focus) generally parallel to the familiar color spectrum (red-yellow-blue) and a spectrum of form (contrast-variety-pattern). For example, both the...
SIMPLE (Searching Images with MPEG-7 (& MPEG-7-like) Powered Localized dEscriptors) is a model that proposes the reuse of well-established global descriptors by localizing their description mechanism on image patches located by local features' detectors. Having displayed impressive retrieval results on two different databases, in this paper we extend the family by replacing the originally picked...
In this research, a new technique For Content Based Image Retrieval (CBIR) with contrast enhancement using multi-feature and multi kernel Support Vector Machine (SVM) method. Color moment (CM), Auto Correlogram (AC), Discrete Wavelet Transform (DWT), Gabor Filter (GF) features are proposed. We extended the previous work which used binary SVM classifier and color features. First of all take a query...
Visual cryptography is process to hide information of digital images which has become an active area of research during the last decades. Because of intrinsic features of images (i.e. bulk data capacity, high redundancy etc) encryption of images is different from that of texts and it is generally difficult to handle by traditional methods. Present study proposes a novel symmetric image encryption...
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