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Image captioning often requires a large set of training image-sentence pairs. In practice, however, acquiring sufficient training pairs is always expensive, making the recent captioning models limited in their ability to describe objects outside of training corpora (i.e., novel objects). In this paper, we present Long Short-Term Memory with Copying Mechanism (LSTM-C) — a new architecture...
The use of LiDAR and multiples digital images jointly with 3-D reconstruction techniques for creating 3-D models of natural outcrops and surfaces studies have increased dramatically in the last few years. These techniques have provided an enormous amount of data for interpretation by geoscientists. However, these researchers have no available software capable of offering a user experience comparable...
The paper reports comparative performances of five distinct algorithms used for rain removal from single images. Both synthetic and real images are considered, while taking into account standard figures of merit such as PSNR, VIF and SSIM. The experiments revealed that the Gaussian Mixture Model based approach yields best performances in terms of visual quality.
This study is to examine the possibility of a brain-scientific approach of the fashion-store visual merchandising display (VMD). In marketing area, VMD has become a research topic of interest. However, a few VMD research has been done by using human brain signals. In this work, the hemodynamic responses (HRs) in the prefrontal cortex (PFC) using functional near-infrared spectroscopy were measured...
360° video, supporting the ability to present views consistent with the rotation of the viewer's head along three axes (roll, pitch, yaw) is the current approach for creation of immersive video experiences. Nevertheless, a more fully natural, photorealistic experience — with support of visual cues that facilitate coherent psycho-visual sensory fusion without the side-effect of cyber-sickness — is...
Recent advances in video understanding are enabling incredible developments in video search, summarization, automatic captioning and human computer interaction. Attention mechanisms are a powerful way to steer focus onto different sections of the video. Existing mechanisms are driven by prior training probabilities and require input instances of identical temporal duration. We introduce an intuitive...
A socio-technical learning scenario sharing platform LePlanner was evaluated by beginning users of educational technology. The users estimated the affordances they perceived with different functionalities of the system while using the system for creating and sharing and getting awareness of learning scenarios. The findings illustrate the beginners perceived interactivity of LePlanner.
There still exists no common standard on how to publish and cite visualisations of simulation data. We introduce the TIB AV-Portal as a sustainable infrastructure for audio-visual data using a combination of digital object identifiers (DOI) and media fragment identifiers (MFID) to cite these data in accordance with scientific standards. The benefits and opportunities of enhancing publications with...
Objective measurement is an essential part of the assessment process in neurological dysfunction such as stroke. However, current clinical scores are insensitive and based on subjective observation from experts. Technology provides an opportunity for enhanced accuracy and specificity of objective measurement. This study describes the use of an interactive force-sensitive table-top platform for the...
Provenance refers to the information about the derivation history of a data product. It is important for evaluating the quality and trustworthiness of a data product and ensuring the reproducibility of scientific discoveries. Much research has been done on storing and querying scientific workflow provenance - provenance that is produced in the execution of data-centric scientific workflows. To address...
Post-concussion syndrome (PCS) is associated with incomplete recovery following a mild traumatic brain injury (mTBI). Currently, there is no biomarker to diagnose post-concussion syndrome. Although microstructural damage to white matter tracts is postulated and reported in some studies, there is no diagnostic biomarker available. In this paper, we present preliminary results of a novel and simple-toadminister...
In medical practice, glaucoma severity is usually measured using the Advanced Glaucoma Intervention Studies (AGIS) metric. In a previous study [2], we replicated the work of Montolio et al., [5] and demonstrated that, for a larger dataset, time of day of test using the AGIS metric did make a difference to the measurement of glaucoma, supporting Montolio et als work. However, in our earlier study,...
Virtual Reality applications for integrated cognitive and motor stroke rehabilitation show promise for providing more comprehensive rehabilitation programs. However, we are still missing evidence on its impact in comparison with standard rehabilitation, particularly in patients with cognitive impairment. Additionally, little is known on how specific stimuli in the virtual environment affect task performance...
Traditional neuropsychological tests of executive function are designed to assess a range of behavioral competencies necessary for the cognitive control of behavior in the real world. Though considered the ‘gold standard’, these pen-and-paper tests have been criticized for questionable relevance to everyday functioning. Immersive virtual reality (VR) technologies may be a viable tool for developing...
Individuals with complex injuries often require innovative treatment techniques, such as virtual reality, to address rehabilitation goals. A Canadian Armed Forces member diagnosed with a complicated mild traumatic brain injury completed 10 virtual reality sessions over 15 weeks. Virtual reality sessions included scenarios to provide both physical and cognitive challenges appropriate to the participants'...
Force-directed algorithms are devoted to creating network visualization that better meet aesthetic standards but rarely consider interactive requirements, making it difficult to place certain nodes with semantic clustering features together through interactive operations. To solve this problem, we realize the interactive semantic clustering visualization through implicit connection. The key steps...
This work presents initial findings of a research project aimed at designing an assistance system able to improve driver ability and reduce accident risk. The proposed system is an innovative Advanced Driver Assistance System based on the integration of two main components: a training procedure based on precision teaching, and a control equipment monitoring driver behavior and providing feedbacks...
Most of daily life's signals vary with time. Vibrations in moving vehicles or music are typical examples. Signals that are in close temporal proximity interfere with the perception of each other, which is known as temporal masking. This study evaluates the effects of temporal masking for vertical whole body vibrations (WBV). Forward vs backward masking is tested, as well as the effect of the duration...
When beginners practice Chinese calligraphy, they often copy from ancient calligraphic works and try to imitate the style as closely as possible. However there are inevitably some characters whose styles are not correctly followed. Thus we are motivated to detect the style consistency of all written characters in one practice. With the styles extracted by using stacked autoencoders of deep neural...
Open access scientific journals allow scientific information to be published on the Web. Open access is immediate access, without registration, subscription or payment requirements to online digital material free of most of the restrictions imposed by traditional copyright. When talking about open access, it is often indicated that it is "barrier-free" access. However, the access barriers...
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