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Judgments about personality based on facial appearance are strong effectors in social decision making, and are known to have impact on areas from presidential elections to jury decisions. Recent work has shown that it is possible to predict perception of memorability, trustworthiness, intelligence and other attributes in human face images. The most successful of these approaches require face images...
We present an approach to automatically generating verbal commentaries for tennis games. We introduce a novel application that requires a combination of techniques from computer vision, natural language processing and machine learning. A video sequence is first analysed using state-of-the-art computer vision methods to track the ball, fit the detected edges to the court model, track the players, and...
A driver is regarded as a system that receives visual information and that controls the steering wheel. To identify the system, we conducted experiments to get input-output data using a driving simulator and confirmed that the focus of expansion of optical flow has sufficient information to predict steering behaviors.
Recently, computer-aided celiac disease diagnosis has been promoted to provide an objective opinion besides histological examination of biopsies and visual assessment of macroscopic mucosal tissue. State-of-the-art techniques, however, are not accurate enough to provide incentive for clinical deployment. In this work, we answer two questions: Do computers and human experts make similar classification...
Skin appearance is almost universally the object of gender-related expectations and stereotypes. This not with standing, remarkably little work has been done on establishing quantitatively whether skin texture can be used for gender discrimination. We present a detailed analysis of the skin texture of 43 subjects based on two complementary imaging modalities afforded by a visible-light dermoscope...
Epigenetics data is very important for understanding the differentiation of cells into different cell types. Moreover, the amount of epigenetic data available was and still is considerably increasing. To cope with this big amount of data, statistical or visual analysis is used. Usually, biologists analyze epigenetic data using statistical methods like correlations on a high level. However, this does...
Occlusion is a challenging problem in visual object tracking. Most state-of-the-art trackers may learn the appearance of the occluding target when it becomes occluded by other objects in the scene. This paper proposes a novel approach of detecting occlusion by dividing the target into several patches and computing the peak-to-sidelobe ratio of every response map. Furthermore, our method can calculate...
In this paper we are interested in establishing a pretreatment for existing metrics without reference (MSU Blocking Metric) for the H.264/MPEG-4 (Motion Picture Expert Group) AVC (Advanced Video Coding) standard. We perform a pretreatment using HARRIS saliency map to improve the performance of this metric. We evaluate the performance of the proposed pretreatment by using subjective “LIVE” video databases...
Several theories of early sensory processing suggest that it whitens sensory stimuli. Here, we test three key predictions of the whitening theory using recordings from 152 ganglion cells in salamander retina responding to natural movies. We confirm the previous finding that firing rates of ganglion cells are less correlated compared to natural scenes, although significant correlations remain. We show...
An image structure provides the visual information of an image which plays an important role in visual perception. Visual Perception is considered as the end product of visual system. It can be described as the way the brain interprets what the eye sees. Human Visual System can easily extract the structure information and structure character is widely used in perception-oriented image processing tasks,...
Several methods are available in computer vision to recognize objects. Mostly, these methods consist of two well-separated parts: first the region of interest has to be recognized on the input image. After this, the visual representation of the object has to be compared with already-known samples: there are several ways, mostly based on the shape, color and pattern, or corner- or keypoints of the...
The objectives of this paper were to examine cultivar differences of aboveground rice plant morphology and structure at the early tillering stage, and analyze its potential correlations with yield. The 4 rice cultivars, Liangyou108 (hybrid long-grain rice, V1), 86You8 (hybrid round-grain rice, V2), Nanjing43 (round-grain rice, V3), and Yangtao6 (long-grain rice, V4), were grown in field. Their rice...
So far researchers have done a large amount of work on the structure of social network, but neglected the correlation between two connected nodes from structure perspective. In this paper, our primary goal is to acquire structural properties and detect anomalies in mobile call networks. In order to investigate the structural properties, we define some metrics which are based on the clique size vectors...
Change detection in aerial images is the core of many remote sensing applications to analyze the dynamics of a wide area on the ground. In this paper, a remote sensing method is proposed based on viewpoint transformation and a modified Kendall rank correlation measure to detect changes in oblique aerial images. First, the different viewpoints of the aerial images are compromised and then, a local...
Illumination changes are a typical problem for many outdoor long-term applications such as visual place recognition. Keypoints may fail to match between images taken at the same location but different times of the day. Although recently some methods are presented for creating shadow-free image representations, all of them have the limitation in terms of dealing with night images and non-Planckian...
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...
Non-verbal information portrayed by human facial expression, apart from emotional cues also encompasses information relevant to psychophysical status. Mouth activities in particular have been found to correlate with signs of several conditions; depressed people smile less, while those in fatigue yawn more. In this paper, we present a semi-automated, robust and efficient algorithm for extracting mouth...
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...
Exploring multi-dimensional datasets can be cumbersome if data analysts have little knowledge about the data. Various dimension relation inspection tools and dimension exploration tools have been proposed for efficient data examining and understanding. However, the needed workload varies largely with respect to data complexity and user expertise, which can only be reduced with rich background knowledge...
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