• Journal of Science of Art and Design
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• v.1
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• pp.267-303
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• 1999

The visual humor can be regarded as an original source for creative ideation. There are several types of humor. for example,'wit, satire, irony and so on. These can be motivations of developing an up-to-date idea. Wit differs from most humor in being purely intellectual, rather than relying on incongruities that come up naturally in many situations. The humor of words contains pun, hyperbole, repetition, and comparison or contrast. Especially in case of pun, it can be most important type of humor for making analytical and humorous effects visually. Pun, meaning the humor of double meaning, furnish us with much of our humor. The concept of pun is the most valuable for creating the visual humor by substituting, combining and manipulating symbols. There are essentially three distinct categories of puns : the literal pun, the suggestive pun, and the comparative pun. All types of puns belong to one of these three groups. The definitions are simple to understand and easy to apply for creating the visual humor, In order to develop a better conceptual model, (this researcher) reexamine the concept of humor, the relationship of humor to various types of message processing, and the relationship of humor to various aspects of message. This thesis. is primarily concerned with basic theories of humor such as concepts of humor, types of humor and analysis of humor. And this contains the research of humor's communications effects and theory of humor response with literature reviews. Modem theories of humor response generally fall into three major schools : Incongruity theories, Superiority theories and Arousal (Relief theories. Together these three approaches address the cognitive-perceptual, affective-evaluative and psycho-dynamic dimensions of a subject's humor response. The literature research of humor and humor response theory in communications and visual communications can help the visual application of humor concepts and usefulness of visual humor appeals. This research agreed that the humor and visual humor must be very effective at being as a means for the advertising expression, not for the purpose itself. In addition, this research is aimed at studying significations and usefulness of visual humor through semiotic approaches in the near future. Then it can be essencial research for the appropriate situational uses of humor related to media, product, and audience factors, such as nationality, age, standard of living, sexuality, and so on.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.4D
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• pp.395-402
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• 2010

The seriousness of a traffic accident appears relatively higher on the curve sections compared with the straight sections due to a change in speed caused by a change in the driver's sight. In particular, the visual distortion phenomenon, one of the dangerous factors taking place on the curve sections, appears different according to the road's geometric design. Although it is a genuinely principal design factor which should be necessarily considered in designing a road, the previous researches on establishing the design standards for it have been insufficiently conducted. As a result, the establishment of the road design standards for the curve sections considering the sight distortion phenomenon is desperately required. This research examined the previous researches on the driver's behaviors, the driver's sight characteristics and the perceived curve radius on the curve sections, and developed the theoretical model of perceived curve radius to which a mathematical technique is applied in consideration of the visual distortion phenomenon on the two-lane curve sections in a local area. In addition, after the theoretical visual distortion was calculated on the basis of the theoretical model of perceived curve radius, the range of error on the theoretical recognition radius model formula was verified through comparing it with the previous researches' experiential visual distortion level and analyzing both of them. As a result, it was observed that as the curve radius practically increases in the theoretical recognition curve radius, the range of error tends to go down, which reflects well the characteristics of the curve sections on the road. Based on this research, it is expected that this research will be helpful to eliminate the safety defects when designing the curve sections and contribute to develop the road design standards considering human factors in the future.

• The Korean Journal of Applied Statistics
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• v.34 no.2
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• pp.191-204
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• 2021

Visual Question Answering (VQA) and image captioning are tasks that require understanding of the features of images and linguistic features of text. Therefore, co-attention may be the key to both tasks, which can connect image and text. In this paper, we propose a model to achieve high performance for VQA by image caption generated using a pretrained standard transformer model based on MSCOCO dataset. Captions unrelated to the question can rather interfere with answering, so some captions similar to the question were selected to use based on a similarity to the question. In addition, stopwords in the caption could not affect or interfere with answering, so the experiment was conducted after removing stopwords. Experiments were conducted on VQA-v2 data to compare the proposed model with the deep modular co-attention network (MCAN) model, which showed good performance by using co-attention between images and text. As a result, the proposed model outperformed the MCAN model.

• Journal of Ocean Engineering and Technology
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• v.17 no.1
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• pp.1-7
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• 2003

Autonomous underwater vehicles (AUVs) are unmanned, underwater vessels that are used to investigate sea environments in the study of oceanography. Docking systems are required to increase the capability of the AUVs, to recharge the batteries, and to transmit data in real time for specific underwater works, such as repented jobs at sea bed. This paper presents a visual :em control system used to dock an AUV into an underwater station. A camera mounted at the now center of the AUV is used to guide the AUV into dock. To create the visual servo control system, this paper derives an optical flow model of a camera, where the projected motions of the image plane are described with the rotational and translational velocities of the AUV. This paper combines the optical flow equation of the camera with the AUVs equation of motion, and deriver a state equation for the visual servo AUV. Further, this paper proposes a discrete-time MIMO controller, minimizing a cost function. The control inputs of the AUV are automatically generated with the projected target position on the CCD plane of the camera and with the AUVs motion. To demonstrate the effectiveness of the modeling and the control law of the visual servo AUV simulations on docking the AUV to a target station are performed with the 6-dof nonlinear equations of REMUS AUV and a CCD camera.

• Journal of Distribution Science
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• v.16 no.2
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• pp.35-45
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• 2018

Purpose - This research aimed at exploring the mediation roles of the arousal and pleasure in the effects of the congruity between visual sensory cues of a retail store and consumers' self-image on the intent to reuse the store. Research design, data, and methodology - The data from 278 Chinese consumers who answered the questionnaire online were analyzed by using structural equation model of Amos 21.0 program to verify the hypotheses. Results - Store's visual sensory cues congruent with consumers' self-image directly affected the intention to reuse the store, and had positive impacts on both their arousal and pleasure states. The consumers' pleasure positively influenced on their intention, but their arousal did not influence on the intention. Consumers' pleasure played mediation roles in the effect of the congruity on the intention to reuse the store. Conclusions - Retail store marketers should pay attention to visual sensory cues to match the cues to consumers' self-image, when designing their store settings. When developing the cues, to help consumers feel pleasure which in turn, induces loyalty to their store, the marketers should develop the atmosphere setting in the respects of the congruity between the visual sensory cues and the self image.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.27 no.5
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• pp.697-704
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• 2003

In this paper, the visual tracking system for arbitrary shaped moving object is proposed. The established tracking system can be divided into model based method that needs previous model for target object and image based method that uses image feature. In the model based method, the reliable tracking is possible, but simplification of the shape is necessary and the application is restricted to definite target mod el. On the other hand, in the image based method, the process speed can be increased, but the shape information is lost and the tracking system is sensitive to image noise. The proposed tracking system is composed of the extraction process that recognizes the existence of moving object and tracking process that extracts dynamic characteristics and shape information of the target objects. Specially, active contour model is used to effectively track the object that is undergoing shape change. In initializatio n process of the contour model, the semi-automatic operation can be avoided and the convergence speed of the contour can be increased by the proposed effective initialization method. Also, for the efficient solution of the correspondence problem in multiple objects tracking, the variation function that uses the variation of position structure in image frame and snake energy level is proposed. In order to verify the validity and effectiveness of the proposed tracking system, real time tracking experiment for multiple moving objects is implemented.

• Journal of the Korean Society for Precision Engineering
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• v.16 no.7
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• pp.109-118
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• 1999

A graphic software is one of the most important components of the vehicle simulator. To increase a visual reality of the simulator, the graphic software should require several technologies such as three-dimensional graphics, graphic modeling of the vehicle and the environment, drivers biomechanical models, and real-time data processing. This study presents a real time graphic driving simulator of a construction vehicle. The graphic simulator contains the three models of the construction vehicle, the human, and the environment, and employes a neural network approach to decrease an on-line dynamic computation. An excavator model is represented using an object-oriented paradigm and contains the detailed information about a real-size vehicle. The human model is introduced for objective visual evaluations of the developed excavator model. Since the environment model plays an important role in a real-time simulator, a block-based approach is implemented and a text format is utilized for easier construction of environment. The simulation results are illustrated in order to demonstrate the applicability of developed models and the neural network approach.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.2
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• pp.224-234
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• 2004

This paper is an exploratory research to identify the structural model suitable for the fashion brand attitude effect process of VMD structural elements. Under the circumstances of severe competitiveness in price-conscious casual brand, we intended to find measurement model of VMD effect to establish plausible brand specific VMD strategy. Since VMD is regarded as one of marketing stimuli like advertising, we introduced Mackenzie, Lutz, and Belch(1986)＇s advertising effect measurement model for the analysis. For the study, VMD structural elements were composed of controllable visual factors from store environment at the aspect of marketing strategy. As a result, the reciprocal mediation hypothesis model shows the best fit for the VMD stimuli. That is, under the cognition of interaction between VMD attitude and brand attitude, strategy must be considered to strengthen the attitude relation between VMD and brand. The second fit model was the dual mediation model which was adopted from Petty and Cacioppo＇s ELM. According to this, when you make use of VMD strategy, it is needed to consider both of affective and cognitive factors of VMD.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.2
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• pp.1080-1099
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• 2019

A better tradeoff between robustness and invisibility will be realized by using the just noticeable (JND) model into the quantization-based watermarking scheme. The JND model is usually used to describe the perception characteristics of human visual systems (HVS). According to the research of cognitive science, HVS can adaptively extract the structure features of an image. However, the existing JND models in the watermarking scheme do not consider the structure features. Therefore, a novel JND model is proposed, which includes three aspects: contrast sensitivity function, luminance adaptation, and contrast masking (CM). In this model, the CM effect is modeled by analyzing the direction features and texture complexity, which meets the human visual perception characteristics and matches well with the spread transform dither modulation (STDM) watermarking framework by employing a new method to measure edge intensity. Compared with the other existing JND models, the proposed JND model based on structural regularity is more efficient and applicable in the STDM watermarking scheme. In terms of the experimental results, the proposed scheme performs better than the other watermarking scheme based on the existing JND models.

• IEMEK Journal of Embedded Systems and Applications
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• v.16 no.4
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• pp.145-151
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• 2021

In this paper, we propose a novel visualization technique to explain the predictions of deep neural networks. We use knowledge distillation (KD) to identify the interior of a black-box model for which we know only inputs and outputs. The information of the black box model will be transferred to a white box model that we aim to create through the KD. The white box model will learn the representation of the black-box model. Second, the white-box model generates attention maps for each of its layers using Grad-CAM. Then we combine the attention maps of different layers using the pixel-wise summation to generate a final saliency map that contains information from all layers of the model. The experiments show that the proposed technique found important layers and explained which part of the input is important. Saliency maps generated by the proposed technique performed better than those of Grad-CAM in deletion game.