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.
Model-Driven Engineering places models as first-class artifacts throughout the software lifecycle requiring the availability of proper model transformation languages. Although numerous languages are available, they lack convenient facilities for debugging and supporting understanding of the transformation logic. This is not least because the underlying transformation engines operate on a low level...
Seeing is not just done through the eyes, it involves the integration of other modalities such as auditory, proprioceptive and tactile information, to locate objets, persons and also the limbs. We hypothesize that the neural mechanism of gain-field modulation, which is found to process coordinate transform between modalities in the superior colliculus and in the parietal area, plays a key role to...
This paper presents a novel method for building textual feature defined on semantic distance and describes multi-model approach for Visual Concept Detection and Annotation(VCDA). Nowadays, the tags associated with images have been popularly used in the VCDA task, because they contain valuable information about image content that can hardly be described by low-level visual features. Traditionally the...
The multichannel model is a complete reassessment of how neurons work at the biochemical level. Its results can be extended into an overarching theory of how vision, memory and cognition come to be in the living brain. This article documents a first attempt at testing the model's validity, by applying its principles to the construction of an image template-matching framework, which is then used to...
Retinotopic mapping mechanism is an important physiological feature. In this paper, the distribution model about the nolinear parameters(eccentricity E and polar angle p), which is based on the log-polar transformation, is discussed. Meanwhile, the two dimensional cognitive model for retinotopic mapping is also built by combining with biological visual vision scope. The results establish the theoretical...
In systems biology, analyzing simulation trajectories at multiple scales is a common approach when subtle, detailed behavior and fundamental, overall behavior of a modeled system are to be investigated at the same time. A variety of multiscale visualization techniques provide solutions to handle and depict data at different scales. Yet the mere existence of multiple scales does not necessarily imply...
We present a visual analytics system that supports an uncertainty-aware analysis of static and dynamic attributes of biochemical reaction networks (BRNs). These are often described by mathematical models, such as ordinary differential equations (ODEs), which enable the integration of a multitude of different data and data types using parameter estimation. Due to the limited amount of data, parameter...
This paper describes the physics-based modeling of the second visual system, the ocelli, common to many species of flying insects. We perform high fidelity visual simulation to study its role in estimating angular velocities during flight. Development of a fully analog, bio-mimetic ocellar sensor is detailed.
Image segmentation is an important problems in the field of image processing. In this paper, we propose a hybrid approach of image segmentation, combining MeanShift, an image segmentation method, and Saliency Maps, a regions-of-interest detection method. Our proposed method uses low-level features of color image, such as luminance, color and spatial. The results from experiments showed that our proposed...
The seamless integration of the shape and visual attributes of virtual objects is still one of the greatest challenges in Computer Graphics. For some natural objects, such as patterned animals, shape and appearance are mutually connected and therefore the individual treatment of these two aspects difficult the whole process and limits the visual results. One approach to solve this problem is to create...
With the recent advancement of web search ranking framework, a.k.a. learning to rank, it is questionable whether it can be still applicable to the large-scale content based image retrieval settings. Moreover, given the complex structure of image representation, it is also challenging how to design visual ranking features that not only scale up well, but also model various visual modalities and the...
Selective visual attention is a kind of mechanism of the primate visual system for rapidly focusing on attractive objects or regions in visual environment. Numerous visual attention models have been developed and optimized over the past decades. Most of the existing models concentrate on static monocular image, but little attention has been devoted to stereo depth information which is an important...
It is important to understand how wildland fire is spreading in a given forest landscape as this information is critical to many applications such as emergency response and decision support for fire suppression, prescribed burning, fire prevention education and fighting training. We review the progress in fire spread simulation and virtual forest modeling, and present a 3D forest fire spread simulation...
Object recognition is one of the most important applications of robotics. For object recognition, edge orientation is widely used as a primitive visual feature. However, a classical filter-based approach passes not only edges inside target orientation band but also edges outside. This can thus cause problem in the estimation of the true orientation of edge. This study proposes a filtering scheme to...
This paper proposes a novel pose-invariant segmentation approach for left ventricle in 3D CT images. The proposed formulation is modular with respect to the image support (i.e. landmarks, edges and regional statistics). The prior is represented as a third-order Markov Random Field (MRF) where triplets of points result to a low-rank statistical prior while inheriting invariance to global transformations...
In this paper we present novel sensory feedbacks named ”King-Kong Effects” to enhance the sensation of walking in virtual environments. King Kong Effects are inspired by special effects in movies in which the incoming of a gigantic creature is suggested by adding visual vibrations/pulses to the camera at each of its steps. In this paper, we propose to add artificial visual or tactile vibrations (King-Kong...
Visual saliency plays an important role in the human visual system HVS since it is indispensable for object detection and recognition. A bottom-up saliency model was proposed, following the manifold characteristic of HVS, previously developed for understanding HVS mechanism. The saliency of a given location of visual field is defined as the power of features responses after the dimensionality reduction...
This paper presents a simple and effective method to compute the pixel saliency with full resolution in an image. First, the proposed method creates an image representation of four color channels through the modified computation on the basis of Itti et al.[5]. Then the most informative channel is automatically identified from the derived four color channels. Finally, the pixel saliency is computed...
In this paper, we present a novel local-global salient region detection method. We first obtain the smoothed image via gradient minimization, resulting in more homogeneous background. Then, we partition the smoothed image into a set of regions and compute the region saliency by measuring the dissimilarity and spatial distance. Furthermore, we adopt the global color distribution, including the color...
New challenges for the management of environmental data require interoperability, integration and the sharing of data. This article presents a SIG Web based on service oriented architecture for the integration of data bases related to data on soil and sheet collected in the Brazilian biomass. In the architecture proposed for the development of the SIG, the concept of ontology was used to support the...
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.