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.
Blog is becoming an increasingly popular media for information publishing. Besides the main content, most of blog pages nowadays also contain noisy information such as advertisements etc. Removing these unrelated elements can improves user experience, but also can better adapt the content to various devices such as mobile phones. Though template-based extractors are highly accurate, they may incur...
Spectral unmixing is the process of identifying pure spectral signatures, called endmembers, from a hyperspectral data, and then expressing each pixel vector in terms of the fractional abundances of these endmembers. Most of the endmember extraction methods in the literature use only the spectral information, whereas the spatial composition of the data is disregarded. Spatial preprocessing methods,...
Automatic object annotation usually requires complicated segmentation to separate foreground objects from the background scene. However, the statistical content of a background scene can in fact provide resourceful valuable information for image retrieval. In this paper, we propose a new hybrid kernel that incorporates local features extracted from both dense regular grids and interest points for...
In this paper, we propose a novel patch-based face-hallucination algorithm, which is based on the local structure kernels established via the relation between interpolated low-resolution (LR) images and their corresponding high-resolution counterparts. In our algorithm, the local linear embedding (LLE) algorithm is used to extract local structures, and the kernels are then constructed based on non-overlapped...
In this work we tackle the problem of search personalization for on-line soft goods shopping. By learning what the user likes and what the user does not like, better search rankings and therefore a better overall shopping experience can be obtained. The first contribution of the work is in terms of feature selection: given the specific nature of the domain, we combine the traditional visual and text...
We consider the problem of attitude stabilization using exclusively visual sensory input, and we look for a solution which can satisfy the constraints of a ??bio-plausible?? computation. We obtain a PD controller which is a bilinear form of the goal image, and the current and delayed visual input. Moreover, this controller can be learned using classic neural networks algorithms. The structure of the...
Measuring image similarity is an important task for various multimedia applications. Similarity can be defined at two levels: at the syntactic (lower, context-free) level and at the semantic (higher, contextual) level. As long as one deals with the syntactic level, defining and measuring similarity is a relatively straightforward task, but as soon as one starts dealing with the semantic similarity,...
The implications of event-driven configurations have been far-reaching and pervasive. Given the current status of stable communication, information theorists daringly desire the intuitive unification of the UNIVAC computer and kernels. The focus in this paper is not on whether the infamous pervasive algorithm for the evaluation of super pages. In conclusion, enabling gigabit switches is maximally...
It has become a hot research topic in manufacturing system that manages the manufacturing system's life cycle resources uniformly, normally and effectively, realizes the sharing of remote and heterogeneous resources and optimizing the allocation of the manufacturing resources. The modeling and resource management approach of Resource Space Model (RSM) meet the needs of the requirements of managing...
The strategies for the preservation of historical documents can include their digitization, which is an effective way to make them publicly available while preventing degradation of the original sources. The Arquivo Publico Mineiro (APM), the Archives of the State of Minas Gerais, has a collection of historical photographs from Brazil, and some of them have been digitized. The availability of digital...
Reverse engineering compiled executables is a task with a steep learning curve. It is complicated by the task of translating assembly into a series of abstractions that represent the overall flow of a program. Most of the steps involve finding interesting areas of an executable and determining their overall functionality. This paper presents a method using dynamic analysis of program execution to...
An optimization method for tuning the parameters of edge detection algorithms based on visual perception is proposed and applied to the Sobel, Laplacian of Gaussian (LoG), and Canny detectors. The method uses human visual quality perception to compare edge maps generated by different edge detector parameter values and iteratively reduces the parameter search space by means of a coordinate search....
In order to show key operating process of Windows OS visually, a method is proposed according to several entities' state information collected from the Windows operating process to make the kernel activities visual. We have realized the visualization of CPU, thread, process, queues of thread and process, clock, and several exterior hardwares and reconstructed the thread scheduling process. The data...
In this paper we study the learning of affordances through self-experimentation. We study the learning of local visual descriptors that anticipate the success of a given action executed upon an object. Consider, for instance, the case of grasping. Although graspable is a property of the whole object, the grasp action will only succeed if applied in the right part of the object. We propose an algorithm...
This paper proposes an efficient approach to extract salient objects in an image. A scale-invariant saliency map is first constructed based on a multi-resolution feature contrast calculation, meanwhile the image is segmented into homogenous regions using nonparametric kernel density estimation (NKDE). Then the region saliency ratio of each region combination to its complement is calculated in turn...
Supervised learning requires adequately labeled training data. In this paper, we present an approach for automatic detection of outliers in image training sets using an one-class support vector machine (SVM). The image sets were downloaded from photo communities solely based on their tags. We conducted four experiments to investigate if the one-class SVM can automatically differentiate between target...
Can we take advantage of the huge number of online images to improve image search quality? Motivated by this question, we propose a novel model to re-rank Google image search results by exploring the latent characteristic of massive unrelated images as a clue to filter them in the reranking. Inspired by the characteristic of the intrinsic diversity and the unwanted availability of the unrelated images,...
An image classification model is here presented based on the integration of visual and textual properties supported by complex kernel functions. Linguistic descriptions derived through Information Extraction from Web pages are here integrated with the visual features corresponding to the images, according to independent kernel combinations. The impact of dimensionality reduction methods (i.e. LSA)...
It has been shown by researchers that using a multimodality approach can help in identifying better clusters in an image collection. The multimodal image features include low-level image features and available text annotations. This approach helps in identifying inherent relationships among different types of features associated with an image. In our approach, we divide images into small tiles and...
Lively Fabrik is a Web-based general-purpose end-user programming environment. Based on the Lively Kernel, Lively Fabrik extends the ideas of the original Fabrik system by empowering end-users to create interactive Web content entirely within their Web browsers. Web applications created with Lively Fabrik typically combine Web sources, data manipulation, and interactive user interface elements. 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.