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.
A variety of methods have been proposed for object level saliency detection, which is useful for many content-based computer vision applications. Unlike most previous work that integrate multiple low level cues to compute the saliency map, this paper presents a novel hierarchical optimization model. First, we compute a rough saliency map using HS method, and then, boundary and foreground seeds are...
The task of visual vocabulary construction plays an important role in the bag-of-words based pattern analysis and robotic applications. A discriminative vocabulary generation in unsupervised case is an open issue for reducing perceptual aliasing in image matching based applications. In this paper, we present a scheme to evaluate the discriminative power of each visual word quantitatively in terms...
Realizing image and signal processing algorithms in embedded systems is a three step process including algorithmic design, implementation and mapping to a target architecture and memory hierarchy. This paper presents MemAddIn, a dynamic analysis tool for C applications that exposes the critical application's loops which deserve the designer's attention for memory hierarchy optimization. MemAddIn is...
In this article, the problem of selection and configuration of visual sensors in Visual Sensor Networks (VSNs) is studied for coverage of the existing targets in the three-dimensional network area. It is assumed that visual sensors are capable of Pan-Tilt-Zoom (PTZ) ability and able to choose the covered area and desirable target through configuration of the angle of view in two horizontal and vertical...
Handling many-objective problems is one of the primary concerns to EMO researchers. In this paper, we discuss a number of viable directions for developing a potential EMO algorithm for many-objective optimization problems. Thereafter, we suggest a reference-point based many-objective NSGA-II (or MO-NSGA-II) that emphasizes population members which are non-dominated yet close to a set of well-distributed...
Improving coding and spatial pooling for bag-of-words based feature design have gained a lot of attention in recent works addressing object recognition and scene classification. Regarding the coding step in particular, properties such as sparsity, locality and saliency have been investigated. The main contribution of this work consists in taking into acount the local spatial context of an image into...
A control-theoretic study of complex systems such as closed-loop neural prostheses exhibits several challenges, from the design of an optimal feedback control problem to its solution. In this paper we study one such system, a closed-loop voluntary movement of a prosthetic finger using electrophysio-logical activities of a single cortical motor neuron. We develop an optimal feedback control problem...
In the conventional rate distortion optimization (RDO) video coding, the measure of distortion is mainly from the perspective of signal processing, while dose not fully take into account the characteristics of visual perception. People have concerns about not only the information of independent pixels, but also the temporal and spatial correlations between them. For different video content, human...
We present ADEP, a development platform to cater to the needs of designing and exploring computationally viable configurations of metaheuristic algorithms. This is motivated by the lack of tools capable of capitalizing on the richness of memetic computing techniques that surfaced in recent years. We describe how various utility modules within the ADEP metaheuristics framework, in particular the LVRP...
We describe an algorithm for similar-image search which is designed to be efficient for extremely large collections of images. For each query, a small response set is selected by a fast prefilter, after which a more accurate ranker may be applied to each image in the response set. We consider a class of prefilters comprising disjunctions of conjunctions (ldquoORs of ANDsrdquo) of Boolean features...
The research presented in this paper aims at developing and validating a predictive tool of individual exposure to solar Ultra-Violet (UV). UV exposure depends on ambient irradiation level and individual factors related to activity (position to the sun, clothing, duration of exposure, and other forms of sun protection). We predict exposure levels of body parts on basis of ambient irradiation levels...
Image fusion is the procedure of combining useful features from multiple sensor image inputs to a single composite image. In this work, the authors revise the previously proposed image fusion framework, based on self-trained independent component analysis (ICA) bases. In the original framework, equal importance was given to all input images in the reconstruction of the ldquofusedrdquo imagepsilas...
The proposed relational fuzzy clustering method called FRFP (fuzzy relational fixed point) is not based on minimizing an objective function, as in traditional methods, but rather on determining a fixed point of a function of the desired membership matrix with the proximity matrix as parameter. The proposed method is compared to other relational clustering methods including NERFCM, Rouben's method...
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.