• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.3
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• pp.665-671
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• 2013

Even though a dual lens stereoscopic camera allows for convenient stereoscopic photography, the necessity for the research comes up, since the dual lens stereoscopic camera can cause visual discomfort during zoom-in due to the fixed convergence point. We propose a method based on which a convergence point can be adjusted to prevent visual discomfort during zoom-in for a dual lens stereoscopic camera. First, the relational model is classified into nine kinds and defined, depending on locations of focus, object, and convergence point. And then, the method to minimize visual discomfort is suggested by adjusting convergence point on the given model. We also implement the suggested methods with anaglyph computer graphic and demonstrate the superiority of them.

• Journal of the Ergonomics Society of Korea
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• v.26 no.2
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• pp.149-155
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• 2007

Recently, various devices requiring text input such as mobile phone IPTV, PDA and UMPC are emerging. The frequency of text entry for them is also increasing. This study was focused on the evaluation of Korean text entry interface. Various models to evaluate text entry interfaces have been proposed. Most of models were based on human cognitive process for text input. The cognitive process was divided into two components; visual scanning process and finger movement process. The time spent for visual scanning process was modeled as Hick-Hyman law, while the time for finger movement was determined as Fitts' law. There are three questions on the model-based evaluation of text entry interface. Firstly, are human cognitive processes (visual scanning and finger movement) during the entry of text sequentially occurring as the models. Secondly, is it possible to predict real text input time by previous models. Thirdly, does the human cognitive process for text input vary according to users' text entry speed. There was time gap between the real measured text input time and predicted time. The time gap was larger in the case of participants with high speed to enter text. The reason was found out investigating Eye-Hand Coordination during text input process. Differently from an assumption that visual scan on the keyboard is followed by a finger movement, the experienced group performed both visual scanning and finger movement simultaneously. Arrival Lead Time was investigated to measure the extent of time overlapping between two processes. 'Arrival Lead Time' is the interval between the eye fixation on the target button and the button click. In addition to the arrival lead time, it was revealed that the experienced group uses the less number of fixations during text entry than the novice group. This result will contribute to the improvement of evaluation model for text entry interface.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.38 no.3
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• pp.247-257
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• 2001

New methods are proposed for printing a full resolution image on a limited output device. The proposed algorithm uses a dot-pattern database that models overlapping phenomena among neighbor printing dots. To solve the problem of dot-overlap, the gray levels of dot-pattern sets were calculated using a circular dot-overlap model and then measured by a spectrometer. Thereafter, in order to improve the visual quality of the color dithering, the contrast sensitivity function of the human visual system was used. As a result, the optimal dot-pattern can be selected from the database. Consequently, the proposed algorithm can produce high quality images while using low-cost color devices.

• The Transactions of the Korea Information Processing Society
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• v.6 no.7
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• pp.1789-1804
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• 1999

This paper presents a simulation-based system for verification and validation(V&V) of design implication of the Visual Real-time Object Model which is produced by existing object's behavior design method. This system can simulate the dynamic interactions using the executable Ada simulation machine, and can detect various logical and temporal problems in the visual real-time object model prior to the real implementation of the application systems. Also, the system can generate the Ada prototype code from the validated specification. This system is implemented by Visual C++ version 4.2. For simulation, this system is using the Ada language because Ada's real-time expression capabilities such as concurrent processes, rendezvous, temporal behavior expression, and etc, are competent compared to other languages. This work contributes to a tightly coupling of methodology-based visual models and formal-based simulation systems, and also contributes to a realization of automated specification V&V.

• Journal of Korean language education
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• v.29 no.3
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• pp.325-344
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• 2018

The purpose of this study is to summarize PWIM (Picture Words Inductive Model) which is one of learner-centered vocabulary teaching-learning models, and suggest ways to implement them in Korean language education. The pictures that are used in the Korean language education field help visualize the specific shape, color, and texture of the vocabulary that is the learning target; thus, helping beginner learners to recognize the meaning of the sound. Visual material stimulates the intrinsic schema of the learner and not only becomes a 'bridge' connecting the mother tongue and the Korean language, but also reduces difficulty in learning a foreign language because of the ambiguity between meaning and sound in Korean and all languages. PWIM shows commonality with existing learning methods in that it uses visual materials. However, in the past, the teacher-centered learning method has only imitated the teacher because the teacher showed a piece-wise, out-of-life photograph and taught the word. PWIM is a learner-centered learning method that stimulates learners to find vocabulary on their own by presenting visual information reflecting the context. In this paper, PWIM is more suitable for beginner learners who are learning specific concrete vocabulary such as personal identity (mainly objects), residence and environment, daily life, shopping, health, climate, and traffic. The purpose of this study was to develop a method of using PWIM suitable for Korean language learners and teaching procedures. The researchers rearranged the previous research into three steps: brainstorming and word organization, generalization of semantic and morphological rules of extracted words, and application of words. In the case of PWIM, you can go through all three steps at once. Otherwise, it is possible to divide the three steps of PWIM and teach at different times. It is expected that teachers and learners using the PWIM teaching-learning method, which uses realistic visual materials, will enable making an effective class together.

• Journal of Broadcast Engineering
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• v.24 no.5
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• pp.859-869
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• 2019

We are facing an era of automation where artificial intelligence works and an era of super-aging, where birth is rapidly declining. In this paper, we intend to perform the creation of an autobiography in conjunction with the generation integrated narrative storytelling, thereby exploring the potential for visual storytelling that can be extended to a variety of media format. The visual autobiography production program confirmed through an interview with the production participants that grandparents, grandchildren and granddaughter together became the main characters in the documentary, a valuable opportunity to reflect on their past memories and lives and recognize their meaning of life. The visual storytelling education program model and media life service presented in this paper will be shared by the youth and the elderly generation together and contribute to the 'sympathetic culture' as a social integration program.

• The Korean Journal of Franchise Management
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• v.12 no.3
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• pp.21-34
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• 2021

Purpose: As the visual expression cue that can easily reveal and imprint the brand image to consumers becomes more important, franchise coffee shops are making various efforts to establish design elements and brand identity. Therefore, the purpose of this study is to examine the structural model between design elements, brand identity, brand association, brand personality, and brand image of franchise coffee shops from various angles, and to suggest a plan for using visual elements makes a brand image on the franchise in the future. Research design, data, and methodology: This study tests the structural relationship between design elements, brand identity, brand association, brand personality, and brand image of franchise coffee shops. design elements are divided into three attributes (interior design, product design). And brand identity is divided into two attributes (brand name, brand symbol/logo). In order to achieve the purposes of this research, research model and hypotheses were developed based on previous researches. All constructs were measured with multiple items developed and tested in the previous studies. The data were collected from 380 customers who visited franchise coffee shops and were analyzed through SPSS 26.0 and SmartPLS 3.0 statistical package program. Result: As a result of this study, first, it is confirmed that product design has a positive effect on brand association toward coffee shops. Second, interior design and product design have a positive effect on brand personality. Third, all brand identity have a significant positive impact on brand association and brand personality. Finally, brand association and brand personality of coffee specialty shops have a positive effect on brand image. Conclusions: The following implications of this study are as follows. This study is confirmed that there is an effect of design elements attributes and brand identity attributes on brand association and brand personality. And, the brand image was found to be influenced by brand association and brand personality. This suggests that it can be used to establish visible marketing strategies for franchise coffee shops. Therefore, it is necessary to further improve efforts to raise the level of the brand image through visual factors such as unusual interior design, product packages.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.8
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• pp.2529-2551
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• 2022

Visual servoing (VS) based on the Kalman filter (KF) algorithm, as in the case of KF-based image-based visual servoing (IBVS) systems, suffers from three problems in uncalibrated environments: the perturbation noises of the robot system, error of noise statistics, and slow convergence. To solve these three problems, we use an IBVS based on KF, African vultures optimization algorithm enhanced extreme learning machine (AVOA-ELM), and fuzzy logic (FL) in this paper. Firstly, KF online estimation of the Jacobian matrix. We propose an AVOA-ELM error compensation model to compensate for the sub-optimal estimation of the KF to solve the problems of disturbance noises and noise statistics error. Next, an FL controller is designed for gain adaptation. This approach addresses the problem of the slow convergence of the IBVS system with the KF. Then, we propose a visual servoing scheme combining FL and KF-AVOA-ELM (FL-KF-AVOA-ELM). Finally, we verify the algorithm on the 6-DOF robotic manipulator PUMA 560. Compared with the existing methods, our algorithm can solve the three problems mentioned above without camera parameters, robot kinematics model, and target depth information. We also compared the proposed method with other KF-based IBVS methods under different disturbance noise environments. And the proposed method achieves the best results under the three evaluation metrics.

• International Journal of Computer Science & Network Security
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• v.24 no.5
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• pp.1-10
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• 2024

Individuals with visual impairments face numerous challenges in their daily lives, with navigating streets and public spaces being particularly daunting. The inability to identify safe crossing locations and assess the feasibility of crossing significantly restricts their mobility and independence. Globally, an estimated 285 million people suffer from visual impairment, with 39 million categorized as blind and 246 million as visually impaired, according to the World Health Organization. In Saudi Arabia alone, there are approximately 159 thousand blind individuals, as per unofficial statistics. The profound impact of visual impairments on daily activities underscores the urgent need for solutions to improve mobility and enhance safety. This study aims to address this pressing issue by leveraging computer vision and deep learning techniques to enhance object detection capabilities. Two models were trained to detect objects: one focused on street crossing obstacles, and the other aimed to search for objects. The first model was trained on a dataset comprising 5283 images of road obstacles and traffic signals, annotated to create a labeled dataset. Subsequently, it was trained using the YOLOv8 and YOLOv5 models, with YOLOv5 achieving a satisfactory accuracy of 84%. The second model was trained on the COCO dataset using YOLOv5, yielding an impressive accuracy of 94%. By improving object detection capabilities through advanced technology, this research seeks to empower individuals with visual impairments, enhancing their mobility, independence, and overall quality of life.

• Journal of Broadcast Engineering
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• v.19 no.4
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• pp.468-477
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• 2014

This paper proposes a novel perceptual quality-based (PQ-based) video coding method with foveated contrast sensitivity (FCS). Conventional methods on PQ-based video coding with FCS achieve minimum loss on perceptual quality of compressed video by exploiting the property of human visual system (HVS), that is, its sensitivity differs by the spatial frequency of visual stimuli. On the other hand, PQ-based video coding with foveated masking (FM) exploits the difference of the sensitivity of the HVS between the central vision and the peripheral vision. In this study, a novel FCS model is proposed which considers both the conventional DCT-based JND model and the FM model. Psychological study is conducted to construct the proposed FCS model, and the proposed model is applied to PQ-based video coding algorithm implemented on HM10.0 reference software. Experimental results show that the proposed method decreases bitrate by the average of 10% without loss on the perceptual quality.