• Journal of Korea Multimedia Society
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• v.7 no.5
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• pp.648-657
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• 2004

A method of extracting central objects in color images without any prior-knowledge is proposed in this paper, which uses basically information of significant color distribution. A central object in an image is defined as a set of regions that lie around center of the image and have significant color distribution against the other surround (or background) regions. Significant colors in an image are first defined as the colors that are distributed more densely around center of the image than near borders. Then core object regions (CORs) are selected as the regions a lot of pixels of which have the significant colors. Finally, the adjacent regions to the CORs are iteratively merged if they are similar to the CORs but not to the background regions in color distribution. The merging result is accepted as the central object that may include differently color-characterized regions and/or two or more objects of interest. Usefulness of the significant colors in extracting the central object was verified through experiments on several kinds of test images. We expect that central objects shall be used usefully in image retrieval applications.

• The Journal of the Convergence on Culture Technology
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• v.4 no.1
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• pp.27-32
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• 2018

Recently, diverse bio-growth and object production experience learning contents have been developed for AR-based storytelling. In this paper, we will develop a storytelling-based growth type content using 3D printer which can add interest in and motivation of experiential learning. It is possible to increase the value of the characters produced by 3D printer as they can be used as personal collections. The bio-growth type content enables the learners and users to experience the local culture, history, and tourism ecology, which can enhance the educational effect by promoting their understanding in a fun way. The purpose of this study is to develop an application for experiential learning contents which creates a virtual environment in an object smart device where you can experience the culture and ecology of a learning community, and then produce the output using the 3D printer to keep as a personal souvenir. The developed contents application for experiential learning can be utilized not only for students but also for tourists. It is expected to serve as a source for further development of various contents through 3D printing technology.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.2
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• pp.81-86
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• 2024

Advancements in generative AI are reshaping graphic and 3D content design landscapes, where AI not only enriches graphic design but extends its reach to 3D content creation. Though 3D texture mapping through AI is advancing, AI-generated 3D modeling technology in this realm remains nascent. This paper presents AI 2D image-driven 3D modeling techniques, assessing their viability in 3D content design by scrutinizing various algorithms. Initially, four OBJ model-exporting AI algorithms are screened, and two are further evaluated. Results indicate that while AI-generated 3D models may not be directly usable, they effectively capture reference object structures, offering substantial time savings and enhanced design efficiency through manual refinements. This endeavor pioneers new avenues for 3D content creators, anticipating a dynamic fusion of AI and 3D design.

• International journal of advanced smart convergence
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• v.5 no.3
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• pp.1-7
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• 2016

In existing Convolutional Neural Network (CNNs) for object recognition task, there are only few efforts known to reduce the noises from the images. Both convolution and pooling layers perform the features extraction without considering the noises of the input image, treating all pixels equally important. In computer vision field, there has been a study to weight a pixel importance. Seam carving resizes an image by sacrificing the least important pixels, leaving only the most important ones. We propose a new way to combine seam carving approach with current existing CNN model for object recognition task. We attempt to remove the noises or the "unimportant" pixels in the image before doing convolution and pooling, in order to get better feature representatives. Our model shows promising result with CIFAR-10 dataset.

• Journal of Computing Science and Engineering
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• v.8 no.2
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• pp.65-77
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• 2014

To address the problem of multi-target retrieval (MTR) of remote sensing images, this study proposes a new object-level feature representation model. The model provides an enhanced application image representation that improves the efficiency of MTR. Generating the model in our scheme includes processes, such as object-oriented image segmentation, feature parameter calculation, and symbolic image database construction. The proposed model uses the spatial representation method of the extended nine-direction lower-triangular (9DLT) matrix to combine spatial relationships among objects, and organizes the image features according to MPEG-7 standards. A similarity metric method is proposed that improves the precision of similarity retrieval. Our method provides a trade-off strategy that supports flexible matching on the target features, or the spatial relationship between the query target and the image database. We implement this retrieval framework on a dataset of remote sensing images. Experimental results show that the proposed model achieves competitive and high-retrieval precision.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.733-734
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• 2023

코로나 펜데믹 이후 다시 대면활동이 활성화되고 있지만 이미 학습한 비대면 활동은 10대들의 대안적인 활동, 소통, 협업의 공간으로 메타버스가 주목을 받으며 초,중 대학에 이르는 교육영역에 대한 논의와 연구가 활발해지고 있다. 특히 고가의 장비나 사용하기 위험한 교육 교보재를 메타버스 공간에 같이 공유하여 오프라인에서 쉽게 접할 수 없는 확장된 사용자 경험을 제공하기 위한 니즈가 있다. 이에 교육 공간으로서의 메타버스 활용을 뛰어넘어 고가 및 위험성이 있는 제한된 교육경험을 제공할 수 있어야 한다.

• Journal of the Semiconductor & Display Technology
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• v.22 no.3
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• pp.161-165
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• 2023

One of the difficult works in an autonomous driving system is detecting road lanes or objects in the road boundaries. Detecting and tracking a vehicle is able to play an important role on providing important information in the framework of advanced driver assistance systems such as identifying road traffic conditions and crime situations. This paper proposes a vehicle detection scheme based on deep learning to classify and tracking vehicles in a complex and diverse environment. We use the modified YOLO as the object detector and polynomial regression as object tracker in the driving video. With the experimental results, using YOLO model as deep learning model, it is possible to quickly and accurately perform robust vehicle tracking in various environments, compared to the traditional method.

• Cartoon and Animation Studies
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• s.49
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• pp.325-357
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• 2017

It can be assumed that the reasons why the animation characters, 'Olaf (in Frozen Kingdom)' and 'Minions (in Super Bad)', etc., which were very successful in the merchandising market while having won the popularity better than the main characters are very popular even though such characters appeared only by playing a funny role while assisting the adventures of the main characters are not only because of their cute appearances but also because such characters have their own core features in their inner world as the transitional object-characters. Simply expressing, a 'Transitional Object' as a concept suggested by a child psychologist, 'Donald Winnicott', means a lovey doll or an imaginary friend which temporarily replaces an infant's mother during the procedure when the infant is mentally separated from its mother. However, in case that the theory of transitional objects was applied directly to many narrative content characters for doing a study, there must have been done some studies in advance for establishing some new criteria and indexes related to the transitional object-characters of such narrative contents. Accordingly, while thinking that the 'emotional relationship' between a growth-subject and a growth mediator must be dealt with as the most important content in order to define a transitional object-character in a narration clearly, this researcher established some emotional index for judging the propensities of a transitional object-character on the basis of such way of thinking. The index is composed of 4 kinds of emotional roles (quasi-family member, growth mediator, lovey doll, an imaginary friend), 6 kinds of emotional supports (hugging, protecting, accepting, giving the initiative, improving the relationship and mutual supervising) and 4 kinds of emotional impressions (impression by contacting, impression to protect and impression accepting an attack). In case that some main characters of a family feature animation, 'Inside Out', are analyzed while the index mentioned above is applied, it was found that 'Bing Bong' and 'Sadness' have a high propensity as a transitional object-character. Especially, it could be inversely inferred in which ways some good transitional object-characters can help the narrations on growth of a family feature animation by taking a look at the character, 'Sadness' that has the highest propensity as a transitional object-character. The transitional object-character, 'Sadness' assists the narration on growth internally and externally by helping the internal maturity of a growth-subject in a way of projecting the tasks for the internal maturity of a growth-subject while helping the growth-subject to be successfully externally in a way of providing the growth-subject with some kinds of facilitating emotion. As the results from this Study, since such kinds of emotional experiences provided by such transitional object-characters are displaced to not only the relevant growth-subjects but also the audience who are emphasized with such growth-subjects as they are, such transitional object-characters play a role of hidden benefactors who induce some immersion into the narrations and provide child and adult audience with various layers of emotional satisfaction.

• Spatial Information Research
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• v.19 no.3
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• pp.73-81
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• 2011

A study about UFID for the management and administration of digital map has achieved much progress through the Korea National Geographic Information Institute. But it is ture that the content and process is too complicated to be applied. For overcoming this and to make harmonious management of the object based seamless digital map, we need to develop the method which has the unique feature identifier on the digital map for management and administration. So, we introduce OSID(Object-based Seamless digital map IDentifier) on the object based seamless digital map and apply OSID in the system to manage the digital map. This study is based on the OSID basic structure which is applied in object based seamless digital map and design the structure of OSID system to maintain and manage each feature of the object based seamless digital map.

• Journal of the Korean Society of Food Science and Nutrition
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• v.30 no.2
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• pp.199-203
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• 2001

Chopi, Zanthaxylum piperitum DC., has been used as natural spice traditionally in the Far East countries including Korea. This study was performed with the object of providing basic data, firstly for the decision of the appropriate harvesting time for traditional use of chopi and secondly for developing a new spice satisfying the national dietary custom from chopi as raw material. Concerning the conte수 and its change of the proximate composition, the content of moisture and crude protein decreased in all sample, while the content of fiber and ash tended to increased with the lapse of harvest time. The content of mineral elements tended to increase in every sample with the lapse of harvest time, and contents of K and P were higher than that of Ca, Na and Mg. Every sample showed the highest content of 15~16 components of total amino acids at the first period and the content decreased gradually with the lapse of harvest time. On the basis of the first period, every sample showed the highest content of aspartic acid, the lowest content of methionine and the trace of cysteine. Free amino acids increased considerably with the lapse of harvest time for peels of chopi and minchopi broth, while the amount for leaves increased on the contrary.