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.
The explosive growth of video data in the modern era has set the stage for research in the field of video summarization, which attempts to abstract the salient frames in a video in order to provide an easily interpreted synopsis. Existing work on video summarization has primarily been static - that is, the algorithms require the summary length to be specified as an input parameter. However, video...
Near-duplicate image discovery is the task of detecting all clusters of images which duplicate at a significant region. Previous work generally take divide and conquer approaches composed of two steps: generating cluster seeds using min-hashing, and growing the seeds by searching the entire image space with the seeds as queries. Since the computational complexity of the seed growing step is generally...
Objective Patients with chronic diseases and complications may frequently visit different specialists. Analytics could help deliver patient-centric seamless care by providing insights on the visit patterns of this group of patients, so that utilization of healthcare resources can be optimized. A new perspective focusing on patients' specialist utilization records combined with statistical learning...
We propose a novel contrast enhancement method for dark images using the value gap expansion force (VGEF) and the sorted histogram equalization. Based on the observation that the inter-pixel relationship is analogous to the electrostatic force, we define the pixel field spread around each pixel and the pixel mass at each pixel position. We compute the VGEF exerted to a pixel by multiplying the pixel...
Due to the semantic gap between low-level visual features and high-level semantic content of images, the methods for image annotation based on low-level visual features, cannot well meet the requirement of knowledge discovery from web images. Therefore, the automatic acquisition for high-level semantic content of image has become a hot research topic. The traditional image annotation methods represent...
In recent years, there are available extremely large collections of images located on distributed and heterogeneous platforms over the online web service. The proliferation of digital cameras and the growing photo sharing using current technology for browsing such collections, but at the same time it spurred the emergence of new image retrieval techniques based not only on photos' visual information,...
Visually mining a large influence graph is appealing yet challenging. Existing summarization methods enhance the visualization with blocked views, but have adverse effect on the latent influence structure. How can we visually summarize a large graph to maximize influence flows? In particular, how can we illustrate the impact of an individual node through the summarization? Can we maintain the appealing...
We present a novel method for visualising the singing style of vocalists. To illustrate our method, we take 26 audio recordings of A cappella solo vocal music from two different professional singers and we visualise the performance style of each vocalist in a two-dimensional space of pitch and dynamics. We use our own novel modification of a trajectory clustering algorithm called TRACLUS to generate...
Particle advection is a foundational operation for many flow visualization techniques, including streamlines, Finite-Time Lyapunov Exponents (FTLE) calculation, and stream surfaces. The workload for particle advection problems varies greatly, including significant variation in computational requirements. With this study, we consider the performance impacts from hardware architecture on this problem,...
This paper proposes an interactive document clustering system based on coordinated multiple views (CMV). Recently, the amount of documents has become extremely large, which makes it difficult for a user to under-stand relationship between documents and topics mentioned in a set of documents. In order to support a user, interactive clustering is a promising approach. When designing an in-teractive...
As the online social network (OSN) develops, the social media data can be easily obtained, which leads to a large scale social network data. In our offline social networks, social relationships that an individual (ego) maintains with other people (alters) can also be organized into circles or groups according to the ego network model [1]. As to online social network, in order to help users cope with...
Nuclear medicine instrumentation visualize the radiopharmaceutical uptake inside the body allowing the interpretation of physiological processes. In dynamic nuclear medicine imaging, time-dependent image sequences are recorded. The changes of radiopharmaceutical uptake over time (so calles time activity curves, TACs) can be analyzed in order to find abnormal patterns corresponding to either structural...
The regularity of everyday tasks enables us to reuse existing solutions for task variations. For instance, most door-handles require the same basic skill (reach, grasp, turn, pull), but small adaptations of the basic skill are required to adapt to the variations that exist (e.g. levers vs. knobs). We introduce the algorithm “Simultaneous On-line Discovery and Improvement of Robotic Skills” (SODIRS)...
Object tracking in the Internet of Things (IoT) has become a hot topic over the past ten years. Currently, the integration of video and radio-frequency identification (RFID) technology plays a crucial role in item-level activity recognition. Various techniques and applications have been proposed for visual object tracking. However, identifying semantic features of item-level objects in huge size of...
Object recognition is especially challenging when the objects from different categories are visually similar to each other. This paper presents a novel method of group-based sparse coding dictionary learning (GSCDL) to exploit the visual correlation within a group of visually similar object categories for dictionary learning. First, a clustering algorithm is performed to partition the training data...
Visualizing information extracted from text is helpful for intuitively understanding the information. Extracting and visualizing personal relationships from text is one of the promising applications of this approach. Existing methods usually estimate personal relationships from direct co-occurrences of personal names that appear in a text. In our previous work, we proposed a method for extracting...
When imitating biological sensors, we have not completely understood the early processing of the input to reproduce artificially. Building hybrid systems with both artificial and real biological components is a promising solution. For example, when a dragonfly is used as a living sensor, the early processing of visual information is performed fully in the brain of the dragonfly. The only significant...
Recent advances in analysis of fMRI have established the existence of functional sub-networks in the human brain that are active during the performance of visual, motor, language, and other tasks. We describe two computational methods of delineating functional sub-networks that are active when an individual performs an approach-avoidance paradigm. The paradigm consisted of presentation of images of...
We present and discuss a computerized system able to provide a wide-range mosaic of the sub-basal nerve layer of central cornea, built from several images acquired in-vivo with confocal microscopy. The montage is performed by a fast, reliable and fully automatic computerized system that does not require any expedient or manual adjustment during the acquisition process. The resulting mosaic provides...
Micro-blogging is a new kind of online broadcast medium rising in latest years which is called weibo in China. Every day, weibo users are fed with a large number of incurious micro-blogs. They may also pay close attention to what celebrities concerned about, but they would rather roughly know the summary of micro-blogs the celebrities, however, they can't add attentions to all the celebrities' friends...
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.