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Research into computational jigsaw puzzle solving, an emerging theoretical problem with numerous applications, has focused in recent years on puzzles that constitute square pieces only. In this paper we wish to extend the scientific scope of appearance-based puzzle solving and consider ’’brick wall” jigsaw puzzles – rectangular pieces who may have different sizes, and could be placed next to each...
The rapid and irregular motion of semen cells makes the counting process of semen difficult in the visual assessment. Therefore, computer based techniques are necessary to evaluate the tests with more accurately. In this paper, an alternative way to the visual assessment technique in spermiogram tests is presented. Analyses are performed on the recorded microscope video images by computer, automatically...
The purpose of this research is to develop the real-world captioning system to ensure information accessibility for person with hearing impairment. However, switching the visual line between the speaker's face and the caption when one is engaging in conversation may stress the user. In this paper, we propose the real-world captioning system which display the dialog next to the speaker's face using...
A game space is designed and placed by considering the beats (Events or Quests) inducing the behaviors of a player. Beats of FPS game can be divided into three types. It is possible to evaluate the placement of the pieces of space in case of analyzing the visual cognition information obtained by the player depending on each kind of beat. In this paper, players were divided into two groups (Novices...
In this research, we present a practical method to detect the insufficient brushing points. The system consists of a sensor node and a visual interface. The sensor node can be clipped onto the handler of a toothbrush while brushing the teeth and the brushed regions will be realtime displayed on the visual interface. A six-axis inertial sensor inside the node is used to detect the scrubbed areas, so...
Instead of using HOG feature on cells or blocks, the extraction of HOG features on corner points is proposed for multiple object visual tracking system in which single or multiple moving objects could be classified. Background subtraction and extraction of corner feature are applied to track and classify the moving objects. Firstly, moving objects will be detected in the form of regions from background...
Many Internet of Things applications provide methods to create mashup services with if-then-else approaches due to its simplicity. When a number of mashup services are increased, it may be suffered by service conflict, that is, mashup services may perform opposite actions or abnormal behavior at the same time. To overcome this issue, this paper proposes the concept of context descriptor to detect...
This paper presents a novel method of image classification for trend prediction based on integration of visual and fNIRS features. It is expected that classification of images in the same object category in terms of generation enables trend prediction. However, since images in the same object category have similar visual features, a limit of accuracy exists for image classification by using only visual...
Nowadays, people have to face many challenges In order to become familiar with all the functionalities of electronical devices. The training process becomes thus essential, especially when we are referring to consumer electronics created for people with disabilities. Our paper presents the importance of training visually impaired people for an advanced sensory substitution device. By using the advantages...
Goal understanding and communication of requirements are vital for ensuring that large and complex project organizations collaborate efficiently. We have used a design science approach to explore and address the problem of communication for large IT projects. We designed a method for avoiding communication gaps by eliciting information regarding stakeholders and information flows. The MAPS (Mapping...
A system that dynamically self-adapts at runtime, should comply with critical requirements. However, runtime verification is difficult even when the system was originally formulated to expect adaptation and allowable changes are preconfigured or prespecified. Our approach examines verification processes originally performed for compliance with system requirements to identify specific verification...
Taking security management of Software-Defined Networking (SDN) into consideration, the identification of attacks due to the SDN-specific vulnerabilities is of great significance. Thus in this case, formalization of security attacks becomes essential in promoting the identification process of attacks. This paper then proposes an integrated approach of attack trees and extension innovation methods...
Salient Object Detection (SOD) has received much attention from the research community due to its increasing applications in the areas such as object detection and recognition, image editing, image and video compression, video summarization and so on. Most of the SOD methods are proposed in literature presuming that the digital images in which salient objects is to be detected, are free from any kind...
Visual Simultaneous Localization and Mapping (VSLAM) requires feature detection on visual data. In indoor scenes that include architectures such as plain walls and doors, there are no or less corners detected, in such cases tracking will be lost. To overcome this situation we track different types of features that help in feature extraction even in textureless scenes. Line features are used to get...
Histogram equalization is the simplest method of image enhancement. Mean brightness and contrast are important parameters of an image. Artifacts are generated if the original mean brightness of an image is not preserved. A high contrast provides good visual quality. Contrast can be increased by increasing entropy of the image. Entropy can be maximized by making the image histogram as flat as possible...
This paper presents a new discriminative learning framework to associate the relationship between the objects and the words in an image and perform template matching scheme for complex association patterns. The problem is first formulated as a bipartite graph matching problem. Thereafter, structural support vector machine (SVM) is employed to obtain the optimal compatibility function to encode the...
Recently, the introduction of vision-based deep Q learning demonstrated successful results in Atari, and Visual Doom AI platform. Unlike the previous study, the fighting game assumes two players with a relatively large number of actions. In this study, we propose to use deep Q Networks (DQN) for the visual fighting game AI competitions. The number of actions was reduced to 11 and the sensitivity of...
In recent years, an increasingly obvious in population aging phenomenon has enhanced a gradual rise in old age population dependency ratio. Hence, a study on resource-related long-term care (LTC) has become an important issue that our government should explore urgently. Data sours LTC-related open government data were collected from the government. Taiwan's county finds out if such national resources...
Recently, the deep reinforcement learning has shown successful outcomes in classic video games (e.g., ATARI) and visual doom competition. Although it's very powerful, it suffers from very long learning time to generalize its performance. For example, it takes about 7~15 days to produce a good controller for ATARI games with state-of-the art GPUs. In this work, we propose to speed up the visual-based...
Different from current researches on Flickr group recommendation approaches that recommend groups to either users or images, this work proposes a unified framework that recommends groups to both users and images. Four types of entities in the Flickr system (users, tags, images, and groups) are integrated into a tetradic model, and then we uses tetradic decomposition to discover the latent semantic...
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