• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.465-467
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• 2022

Mobile phones have become an essential item nowadays since it provides access to online platform and service fast and easy. Coming to these platforms such as Social Network Service (SNS) for shopping have been a go-to option for many people. However, searching for a specific fashion item in the picture is challenging, where users need to try multiple searches by combining appropriate search keywords. To tackle this problem, we propose a system that could provide immediate access to websites related to fashion items. In the framework, we also propose a deep learning model for an automatic analysis of image contexts using instance segmentation. We use transfer learning by utilizing Deep fashion 2 to maximize our model accuracy. After segmenting all the fashion item objects in the image, the related search information is retrieved when the object is clicked. Furthermore, we successfully deploy our system so that it could be assessable using any web browser. We prove that deep learning could be a promising tool not only for scientific purpose but also applicable to commercial shopping.

• Journal of Internet Computing and Services
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• v.19 no.1
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• pp.97-103
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• 2018

In oriental paintings, there is Luo-kuan that expressed in a single picture by compressing the artist's information. Such Luo-kuan includes various information such as the title of the work or the name of the artist. Therefore, information about Luo-kuan is considered important to those who collect or enjoy oriental paintings. However, most of the letters in the Luo-kuan are difficult kanji, kanzai, or various shapes, so it is difficult for the ordinary people to interpret. In this paper, we developed an Luo-kuan search application to easily check the information of the Luo-kuan. The application uses a search algorithm that analyzes the captured Luo-kuan image and sends it to the server to output information about the Luo-kuan candidates that are most similar to the Luo-kuan images taken from the database in the server. We also compared and analyzed the accuracy of the algorithm based on 170 Luo-kuan data in order to find out the ranking of the Luo-kuan that matched the Luo-kuan among the candidates. Accuracy Analysis Experimental Results The accuracy of the search algorithm of this application is confirmed to be about 90%, and it is anticipated that it will be possible to develop a platform to automatically analyze and search images in a big data environment by supplementing the optimizing algorithm and multi-threading algorithm.

• Journal of The Korean Digital Architecture Interior Association
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• v.8 no.2
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• pp.29-37
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• 2008

The purpose of this study was to analyze the customer demand for design development of digital convergence furniture in the living space of the ubiquitous home. This study used the individual survey method and was collected from July 1 to 20, 2008. The frequency and percentage were used for data analysis by SPSS window's 12. The results of the study were as follows: The first, a lot of survey targets were 30-40 years old, university graduates, over 50,000,000 won in annual income and 30-40 pyung in house size. The second, what types of activity were carried out in the living room were acquisition of knowledge>entertainment activity>communication activity>household chores. The third, what types of furniture were used in the living room were A/V furniture>table>sofa>computer table>bookself. The forth, customers preferred to picture telephone service in sociality, home-theater service in entertainment and home appliances remote control service in information service. The fifth, the digital functions which can integrate with the living roon furniture, in the item for A/V furniture, was front door control function which recognizes visitors with the screen. In the item for table was function to search internet and for sofa was self purification function. Finally, the digital convergence furniture is not only for one activity but also for various types of activities that can comprehensively function to materialize the concept of comfortable furniture in the living space.

• Archives of design research
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• v.13 no.3
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• pp.313-320
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• 2000

Currently, The new wave of information technology has enormously influenced every field. In the Held of design, it is time to strive possible efforts in order to accumulate the design-related knowledge by maintaining, managing and controlling design information in a systematic manner, getting out of the old stage of mere use of data itself. Due to remarkable progress in communication media and speed, and file compression technology, text-centric data has been shifting to multimedia data such as image and motion picture. So it is currently required that methologies be developed to effectively utilize the related information. With respect to the processing of image data, it is certain that the optimal method should be come up with reflecting the unique characteristics and utilization of image data, apart from the traditional way of processing and storing the legacy text-based data. The study suggests the system of indexing and implementing design image information through the case of analyzing design image data, abstracting data elements of image itself, and finally applying it to building image-oriented database for use.

• Korean Journal of Human Ecology
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• v.10 no.1
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• pp.83-91
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• 2001

Currently, obtaining information about the housing studies through the internet web sites is one of the outstanding mediums. Those are of the housings, architecture, interior design, furniture products, hotels and its journals, etc., and out of all those informations are the highly expected value of use. But. it may causes the public users to experience a negative effect, because many of those informations provided on the internet web sites related to the housing studies/informations are not providing an equal quality of information. And measuring the quality is also not easy. This study focuses on the establishment of evaluation criterion for the housing information-related internet web sites. In such a vein, it proposes a clear model to evaluate the information qualities with the 43 questionnaires / examining items. To test the questionnaires/rating items, the analysis has been implemented which has shown the reciprocal effect between the 2 major factors. One major factor with 4 variables on the information searches are (1) the accuracy/reliability of contents and techniques, (2) the design of a picture and communication, (3) the readability and security, and (4) the security of private information, and the other factor with 3variables on the additional services are (1) the diversities of contents and ease of orderings, (2) the abilities of search and e-mail, and (3) the events and after services. This study/rating model will provide the users with a fundamental material in evaluating the quality of housing information on the internet web sites.

• Journal of the Korea Society of Computer and Information
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• v.4 no.2
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• pp.141-146
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• 1999

In this paper, picture set filter is proposed for preserving compression ratio and video qualify. This filter controls the compression ratio of each frame depending on the correlation to the reference frame by selectively eliminating less important high-resolution areas. Consequently, video quality can be preserved and bit rate can be controlled adaptively. In the simulation, to test the performance of the proposed coding method, comparisons with the full search block matching algorithm and the differential image coding algorithm are made. In the former case, video quality, compression ratio and encoding time is improved. In the latter case, video quality is degraded, but compression ratio and encoding time is improved. Consequently. the proposed method shows a reasonably good performance over existing ones.

• The Journal of Korean Association of Computer Education
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• v.3 no.1
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• pp.97-107
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• 2000

In children education, it takes a much time for teachers to prepare teaching materials and tools. Most teaching materials and tools consist of pictures so that children may easily understand the contents of a study. If instructors free from laborious work for preparing these materials, they can provide children with better education by focusing more creative works. In this study, we manufactured many picture data which are used in children education, and developed a program that is used by teachers for the purpose of utilizing these pictures according to study topics. This program provides a feature that easily search more than 3700 pictures according to subjects and areas, and also provides various editing facilities such as expanding, reducing pictures and writing statements.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.19 no.12
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• pp.2376-2385
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• 1994

In receiving the digital TV signal, both decoding delay and the channel hopping delay are very critical factors in applications. The intra-slice coding in the MPEG-2 SIMPLE PROFLE of No B-picture is one of the primary methods for short delay time in video decoding. It has the advantage of short decoding delay, but has the drawback of long channel hopping delay time. In this paper, we propose a method to reduce the channel delay with negligible loss in SNR performance. It is shown that dividing pictures into several regions of slices and adding some restriction in motion vector search for inter-frame coding. hence the random acess points are effectively increased. and the channel hopping delay is reduced.

• Journal of the Korea Society of Computer and Information
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• v.4 no.3
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• pp.73-77
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• 1999

In this paper. wavelet transform coding for image conference is studied. Original video frames are transformed into hierarchical pyramidal images with multiresolution using the band property of wavelet transform coefficients. Moving information between neighboring frames is obtained from the low-resolution band. Also, to control the video coding procedure. a new picture set filter is proposed. This filter controls the compression ratio of each frame depending on the correlation to the reference frame by selectively eliminating less important high-resolution areas. Consequently. video quality can be preserved and bit rate can be controlled adaptively In the simulation, to test the performance of the proposed coding method, comparisons with the full search block matching algorithm and the differential image coding algorithm are made. Consequently. the proposed method shows a reasonably good performance over existing ones.

• Journal of the Institute of Convergence Signal Processing
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• v.5 no.2
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• pp.96-105
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• 2004

The recovering 3D image from 2D requires the depth information for each picture element. The manual creation of those 3D models is time consuming and expensive. The goal in this paper is to estimate the relative depth information of every region from single view image with camera translation. The paper is based on the fact that the motion of every point within image which taken from camera translation depends on the depth. Motion vector using full-search motion estimation is compensated for camera rotation and zooming. We have developed a framework that estimates the average frame depth by analyzing motion vector and then calculates relative depth of region to average frame depth. Simulation results show that the depth of region belongs to a near or far object is consistent accord with relative depth that man recognizes.