The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
As an important visual characteristic, color has been widely applied in content based image retrieval. The paper adopted the RGB color model, wherein intersection distance method, Euclidean distance method and correlation distance method based on color histogram characteristics were applied respectively in the experiments of the same sample image and the same image database. Experimental results show...
The Discrete Cosine Transform (DCT) and the Graph Fourier Transform (GFT) are ones of the well-known image transform methods designed for images obtained by a single device. This paper proposes a hybrid image transform method designed for a pair of color and depth images. Based on the correlation between the images, the proposed method selects suitable transform either from the DCT or Color-depth...
We consider online predictions of vote results, where regions across a country vote on an issue under discussion. Such online predictions before and during the day of the vote are useful to media agencies, polling institutes, and political parties, e.g., to identify regions that are crucial in determining the national outcome of a vote. We analyze a unique dataset from Switzerland. The dataset contains...
Accurate seismic data visualization is of paramount importance for seismic interpretation such that reservoir quality can be predicted precisely and oil or gas resources can be evaluated truthfully. For micro geological structure in seismic data, due to the variable geometric attribute, smaller size and significant role, seismic data visualization presents an intriguing problem. Existing approaches...
Study in UAV aerial image quality assessment algorithm. Aiming at the characteristics of lack of reference images, have large amount of data and degradation type is mainly about blurry, we put forward a rapid and effective no-reference aerial image quality assessment algorithm based on the natural scene statistics. This algorithm reduces the computational complexity of traditional algorithms based...
Visual textures like grass, water etc. consist of dense and random variations in contrast that are perceptually indistinguishable by a human eye. Such textures are costly to encode using image and video codecs. For example, in the state-of-the-art compression standard High Efficiency Video Coding (HEVC), detailed textures typically show relatively strong blurring artifacts at low rates (high QPs)...
A large number of images are available on online photo-sharing services along with rich meta-data, including tags, groups, and locations, etc. For associating two domains of different modalities, e.g. images and tags, Canonical Correlation Analysis (CCA) and its extended methods are used widely. We employ a more flexible graph embedding method called Cross-Domain Matching Correlation Analysis (CDMCA),...
We present a method searching for the main symmetric axis in an image based on the SAX representation which converts pixels to symbols and a classical linear time palindrome detecting algorithm. This method generates a curve outlining the axis by dynamic programming and produces a straight axis by RANSAC, a linear fitting method tolerates outliers. The computational complexity is O(mn) on an m×n image,...
The morphological similarity of anatomical structures is essential to the study of the species evolution. In this paper, we investigate the unsupervised shape similarity analysis by a random-forest-based metric. The dense continuous deformation fields are employed as the shape descriptors. The forest is built when given the unlabeled deformation fields, where the leaves can be seen as an optimal clustering...
In this paper, we propose a novel method for light field imaging. Previous systems are difficult to obtain multi-viewpoint images (sub-images) at the high-resolution. In order to overcome this problem, we propose a two-layer light field imaging system by using an organic photoelectric conversion film (OPCF). Our imaging system places the OPCF having the green spectral sensitivity onto the micro-lens...
Palette mode is the new coding tool that has been adopted in the Screen Content Coding Extensions of High Efficiency Video Coding (HEVC SCC). Palette mode can represent colour clusters for screen content efficiently and can be summarized into two parts: palette coding tools and colour index map coding tools. This paper proposes two techniques to improve colour index map coding: transition copy and...
Estimation of salient regions in an input video is an active area of research due to its wide applications. In this paper, we propose a novel algorithm to estimate the eye gaze movement in a video using motion, color and structural cues with minimum outliers. The algorithm is generalized to capture salient information for the videos taken under different camera motions. The entire algorithm is parallelizable...
This paper presents a full-reference image quality estimator based on SIFT descriptor matching over reliability-weighted feature maps. Reliability assignment includes a smoothing operation, a transformation to perceptual color domain, a local normalization stage, and a spectral residual computation with global normalization. The proposed method ReSIFT is tested on the LIVE and the LIVE Multiply Distorted...
Visual texture fidelity evaluation is important but still unsolved problem. Evaluation of how well various texture models conform with human visual perception of their original measured pattern is required not only for assessing the visual dissimilarities between a model output and the original measured texture, but also for optimal settings of model parameters, for fair comparison of distinct models,...
Source camera identification methods aim at identifying the camera used to capture an image. In this paper we developed a method for digital camera model identification by extracting three sets of features in a machine learning scheme. These features are the co-occurrences matrix, some features related to CFA interpolation arrangement, and conditional probability statistics. These features give high...
In this paper, we introduce a new tool, CEREBRA, to visualize the 3D network of human brain, extracted from the fMRI data. The tool aims to analyze the brain connectivity by representing the selected voxels as the nodes of the network. The edge weights among the voxels are estimated by considering the relationships among the voxel time series. The tool enables the researchers to observe the active...
The exact measure of mitotic nuclei is a crucial parameter in breast cancer grading and prognosis. This can be achieved by improving the mitotic detection accuracy by careful design of segmentation and classification techniques. In this paper, segmentation of nuclei from breast histopathology images are carried out by Localized Active Contour Model (LACM) utilizing bio-inspired optimization techniques...
This study presents a new algorithm to adaptively detect change points of functional connectivity networks in the brain. It uses scans from resting-state functional magnetic resonance imaging (rsfMRI) which is one of the major tools to investigate intrinsic brain functionality. Different regions of the resting brain form networks that change states within a few seconds to minutes. The change points...
This paper propose a road detection, which is based on the color space and cluster connection. Generally, this method consists of two steps. The first step is road detection based on the color space. The second step is removing the fails road detection in the first step by using correlation. The correlation formula is used for calculating the similarity of each cluster image. The fails road detection...
In this paper, we introduce graph simplification capabilities of a new tool, CEREBRA, which is used to visualize the 3D network of human brain, extracted from the fMRI data. The nodes of the network are defined as the voxels with the attributes corresponding to the intensity values changing by time and the coordinates in three dimensional Euclidean space. The arc weights are estimated by modeling...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.