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This paper proposes a graph-based Web video search reranking method through consistency analysis using spectral clustering. Graph-based reranking is effective for refining text-based video search results. Generally, this approach constructs a graph where the vertices are videos and the edges reflect their pairwise similarities. A lot of reranking methods are built based on a scheme which regularizes...
This paper presents a parallax adjustment method for 3D video to improve the visual comfort of the 3D video. Firstly, matching algorithm based on SIFT (Scale Invariant Feature Transform) is used to obtain the accurate horizontal parallax and vertical parallax of the feature points between the left-view and the right-view of the 3D video. Then the range of horizontal parallax with comfort viewing is...
This paper is focused on probabilistic estimation for the attitude dynamics of a rigid body on the special orthogonal group. We select the matrix Fisher distribution to represent the uncertainties of attitude estimates and measurements in a global fashion without need for local coordinates. Several properties of the matrix Fisher distribution on the special orthogonal group are presented, and an unscented...
With the rapid development and reduced cost of digital video capturing devices, driving video recorders (DVRs) begin to gain widespread popularity. What is seen and what happens along the way can thus be recorded in videos. However, searching for a specific scene or event among such massive video collections is laborious and tedious. In this paper, we develop a speed-adaptive street view image generation...
At present, driving simulators show virtual worlds on flat computer screens, and one of the key trainee's skills to be developed is the accuracy of distance estimation for distant objects. The paper describes experiments comparing the accuracy of height (100–300 m) and distance (700–1000 m) estimation for virtual objects on the flat screen and in the augmented reality (AR) environment. The experiment...
We address the problem of estimating the visual focus of attention (VFOA), e.g. who is looking at whom? This is of particular interest in human-robot interactive scenarios, e.g. when the task requires to identify targets of interest over time. The paper makes the following contributions. We propose a Bayesian temporal model that connects VFOA to gaze direction and to head pose. Model inference is...
In this paper, we address the problem of automatically recognizing emotions in still images. While most of current work focus on improving whole-image representations using CNNs, we argue that discovering affective regions and supplementing local features will boost the performance, which is inspired by the observation that both global distributions and salient objects carry massive sentiments. We...
In this paper, an asymmetric kernel is proposed for extracting sparse features from two-dimensional visual face images for identity recognition. Essentially, the kernel consists of an inner product of two vectors where one of them has been raised to power terms element-wise. The impact of such a power term is suppression of less influential features where only relevant ones are used for estimation...
This paper proposes a robust multi-constrained model for fingerprint orientation field construction. The orientation field construction problem is formulated as an overdetermined regularization system, in which three constraints are incorporated to ensure the accuracy. Constraints required in the model are: 1) a least square data term aiming to maintain consistency between the constructed and original...
Visual odometry approaches have demonstrated to work very well for localization in GPS-denied areas, however they could quickly diverge depending on the environment. In order to achieve reliable long-term localization, it is a good practice to complement vision-based estimations with an additional source of information able to correct odometry drifts. This paper presents an approach that complements...
The propose of this study aims to use eyeball model approach and algebra-geometric to analyze 3-D gaze estimation. Which stereo gaze directions calculate from 3-D coordinates of the value of Cornea Center and Pupil Center of left and right eyes. Then stereo gaze directions are used to get point of gaze (POG) of 3-D coordination. The experimental is designed in three conditions, (i) no head movement...
Nowadays, the technological and scientific research related to underwater perception is focused in developing more cost-effective tools to support activities related with the inspection, search and rescue of wreckages and site exploration: devices with higher autonomy, endurance and capabilities. Currently, specific tasks are already carried out by remotely-operated vehicles (ROV) and autonomous underwater...
Knowing the exact position and rotation is a crucial necessity for the navigation of autonomous robots. Even in outdoor environments GPS signals are not always accessible for estimating online rotation and position of robots. Also inertial aided navigation methods have their own defects such as the drift of gyroscope or inaccuracy of accelerometer in agile motions and environmental sensitivity of...
The brain rhythms defined by specific frequency-bands of electroencephalography (EEG) signal are generally thought to represent diverse cognitive processes which wax and wane with sub-second resolutions at different parts of the cortex. Furthermore, single-trial analysis of EEG is believed to show more realistic pictures of ongoing and event-related activities of the brain with millisecond resolution...
Depression is considered as a psychosomatic state associated with the soft biometric features. People suffering from depression always behave abnormal. Depression is a clinically proven disorder that can overwhelm a person and his ability to perform even a simple task. Soft biometric provides important information about a person without being enough for their verification because they lack uniqueness...
Studies of time-varying or dynamic brain connectivity (BC) using functional magnetic resonance imaging (fMRI) are crucial to understand the relationship between different brain regions. This paper presents a novel method for estimating dynamic BC using a time-varying multivariate autoregressive (AR) model with spatial sparsity and temporal continuity constraints. The problem is formulated as a maximum...
Visual Saliency Estimation is a computer vision problem that aims to find the regions of interest that are frequently in eye focus in a scene or an image. Since most computer vision problems require discarding irrelevant regions in a scene, visual saliency estimation can be used as a preprocessing step in such problems. In this work, we propose a method to solve top-down saliency estimation problem...
In this research, we focused low illumination video image of “below 1 lux” obtained by normal type video camera, and we have considered the method of image correction for moving-object detection by inter-frame differencing. The method of this research is the combination of gamma correction and denoising as the preparation of inter-frame differencing. In this paper, F-measure was introduced as objective...
To facilitate weather property estimation from images, a large-scale image dataset associated with rich weather information is developed. Based on the taken time and geographical information of an image, we associate it with weather properties obtained from a weather forecast website. Through data filtering like indoor/outdoor classification and sky region detection, a clean and large-scale image-weather...
Parkinson's disease has affected over 6.3 million people across the globe. It is estimated that by 2030, the number would rise to 9 million. Almost twenty percent of the people still remain undiagnosed. Parkinson's is the second most common neurodegenerative disease after Alzheimer's. It not only claims the lives of the patients suffering from it but also adversely impacts the lives of their loved...
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