• Proceedings of the Korean Information Science Society Conference
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• 2000.10a
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• pp.89-91
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• 2000

최근 들어 멀티미디어와 같은 고차원 데이터를 효율적으로 처리하기 위한 고차원 인덱싱구조에 대한 연구가 활발히 진행되어 왔으며, 특히 R-tree를 기반으로 하는 인덱싱 구조가 가장 많이 발표되었다. 그러나, R-tree 계열의 색인기법은 데이터 삽입시 삽입순서를 비효율적으로 배정하는 경우 실제적으로 자신과 거리가 먼 객체들과 동일한 노드에 삽입될 수 있다. 이는 인덱싱 구조내에 많은 겹침을 초래하고 결과적으로 검색성능을 저하시킬 수 있다. 본 논문은 이러한 단점을 극복하기 위하여 데이터가 지니는 특성 중, 공간적인 위치정보를 분석하여 클러스터를 형성하고 이를 이용하여 인덱싱 형성에 적용하였고, 질의 처리시 검색성능이 향상되도록 하였다. 또한 실험에서는 실제 이미지 데이터에 대하여 제안한 기법을 적용하여 성능이 향상되었음을 나타내었다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.920-921
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• 2023

미디어 공유 활성화에 따라 개인정보 노출의 위험성이 증가하고 있다. 본 논문에서는 YOLOv5를 통해 학습한 모델을 바탕으로 이미지에서 개인정보가 담긴 물체를 탐지하는 연구를 진행하였다. 모델로 탐지된 객체에는 광학 인식 기술(OCR)을 적용하여 객체 내의 텍스트 속 개인정보 영역을 마스킹한다. 설계된 알고리즘은 여러 분야에 활용되어 개인정보에 대한 서비스 강화를 제공해 줄 수 있을 것으로 기대된다.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.627-630
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• 2024

본 연구는 인공지능(AI)과 인간이 만든 예술작품 사이의 나타나는 기술적 요소에서 나타나는 차이점 탐구를 통해, 인공지능 예술의 특성, 가능성, 한계를 파악하고, 예술가의 역할에 대한 심층적 이해를 도모하는 것을 목적으로 한다. 연구 결과는 AI 생성 예술이 인간 예술과 경쟁할 수 있으며, 일반 대중 사이에서 높은 미학적 가치를 인정받을 수 있음을 나타냈다. 또한 AI 가 예술창작에서 중요한 역할을 할 수 있음을 나타냈다. 본 연구는 예술계 내에서 AI 예술의 위치와 사회적 수용에 대한 더 깊은 이해를 제공할 것으로 기대된다.

• Journal of Digital Contents Society
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• v.16 no.4
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• pp.583-593
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• 2015

Today, caused by the growth of computer and communication technology, multimedia, especially image data are being used in different application divisions. JPEG2000 that is widely used these days provides a Region-of-Interest(ROI) technique. The extraction of ROI has to be rapidly executed and automatically extracted in a huge amount of image because of being seen preferentially to the users. For this purpose, this paper proposes a method about preferential processing and automatic extraction of ROI using the distribution of edge in the code block of JPEG2000. The steps are the extracting edges, automatical extracting of a practical ROI, grouping the ROI using the ROI blocks, generating the mask blocks and then quantization, ROI coding which is the preferential processing, and EBCOT. In this paper, to show usefulness of the method, we experiment its performance using other methods, and executes the quality evaluation with PSNR between the images not coding an ROI and coding it.

• Journal of Korean Society for Geospatial Information Science
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• v.10 no.4 s.22
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• pp.31-39
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• 2002

In this paper, we propose Media CIS system architecture which provides geographical information of geo-features in video sequences by using 3D geographical database and GPS-related data resulted from 4S-Van. We introduce a novel interoperable geographical data service concept, so-called, Virtual World Mapping (VWA) that can map 3D graphic world with real-world video to provide geographical information. Our proposed method can easily retrieve geographical information and attributes to reconstruct 3D virtual space according to certain frame in video sequences. Our proposed system architecture also has an advantage that can provide geographical information service with video stream without any image processing procedures. In addition to, describing the details of our components, we present a Media GIS web service system by using GeoVideo Server, which performs VWM technique.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.818-823
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• 2006

본 연구에서는 디지털 콘텐츠와 물리적 미디어가 유기적으로 결합할 수 있는 가능성을 모색하고자, 입출력 일체화 개체인 'I/O 셀(Cell)'과 그 집합체인 '텐저블 게임 콘솔(Tangible Game Console)'을 개발하였다. I/O 셀은 여러 종류의 센서와 액츄에이터가 하나의 물리적 노드 내에 통합되어 있는 개체로, 이 I/O 셀 다수를 집적하면 다양한 크기와 용도의 엔터테인먼트 미디어를 구성하는 것이 가능하다. 그 중 하나로 개발된 텐저블 게임 콘솔은 일종의 센서-액츄에이터 집합체로 셀들 사이의 연계를 통해 다양한 물리적 정보를 인식하고 표현할 수 있다. 텐저블 게임 콘솔은 기존 게임 콘텐츠의 주요한 표현 수단이었던 이미지와 텍스트 정보 대신에 물리적 정보를 통해 게임 콘텐츠를 구성하며, 조작대상과 조작수단이 일체화되어 있고, 또한 음악, 퍼즐, 액션 등 다양한 장르의 게임 콘텐츠가 적용 가능하다는 특징을 가지고 있다. 텐저블 게임 콘솔에서는 불, 바람, 물, 생명체 등의 물리적 현상을 형상/움직임/소리/빛 등을 통해 재현하며, 사용자는 이를 때리기/바람불기/흔들기/기울이기 등의 직접적인 조작을 통해 체험할 수 있다. 또한 물리적인 상호작용 과정이 일정한 게임 규칙을 가지고 구성되어 있어 지속성 있는 놀이 경험을 제공한다. 본 연구에서는 텐저블 게임 콘솔의 콘텐츠로 음악, 액션, 대전게임 등을 개발하였으며, 이 콘텐츠들의 놀이경험을 평가함으로써, 텐저블 게임 콘솔의 발전 가능성을 확인하였다.

• Journal of KIISE:Software and Applications
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• v.31 no.10
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• pp.1332-1344
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• 2004

Upon development of information super-highway and multimedia-related technoiogies in recent years, more efficient technologies to transmit, store and retrieve the multimedia data are required. Among such technologies, firstly, it is common that the semantic-based image retrieval is annotated separately in order to give certain meanings to the image data and the low-level property information that include information about color, texture, and shape Despite the fact that the semantic-based information retrieval has been made by utilizing such vocabulary dictionary as the key words that given, however it brings about a problem that has not yet freed from the limit of the existing keyword-based text information retrieval. The second problem is that it reveals a decreased retrieval performance in the content-based image retrieval system, and is difficult to separate the object from the image that has complex background, and also is difficult to extract an area due to excessive division of those regions. Further, it is difficult to separate the objects from the image that possesses multiple objects in complex scene. To solve the problems, in this paper, I established a content-based retrieval system that can be processed in 5 different steps. The most critical process of those 5 steps is that among RGB images, the one that has the largest and the smallest background are to be extracted. Particularly. I propose the method that extracts the subject as well as the background by using an Image, which has the largest background. Also, to solve the second problem, I propose the method in which multiple objects are separated using RGB channel selection techniques having optimized the excessive division of area by utilizing Watermerge's threshold value with the object separation using the method of RGB channels separation. The tests proved that the methods proposed by me were superior to the existing methods in terms of retrieval performances insomuch as to replace those methods that developed for the purpose of retrieving those complex objects that used to be difficult to retrieve up until now.

• Journal of Korea Game Society
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• v.6 no.3
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• pp.67-76
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• 2006

This study is to examine relationship between immersiveness aspect and the recognition of garners who are exposed to PPL (Product Placement Advertisement) in online game. The frequency of exposure, the placement type of PPL, the perception under the threshold of consciousness and the interest at the product and knowledge about PPL have been widely known as the factors of effectiveness in PPL advertising. In this study, 'immersiveness' is newly introduced to investigate the effectiveness of PPL advertising due to the unique characteristics of game which easily leads to immersion. Control group is exposed to movie clip and experimental group to lacing online game. In conclusion, the deep immersion has reduced the perception level of user on PPL except the variable of PPL placement. This study suggests that how to design the PPL placement in game for enhancing marketing effect is all the more vital, in spite of the result that the player in high immersion cannot distinguish different images.

• Journal of Broadcast Engineering
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• v.25 no.6
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• pp.861-869
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• 2020

We introduce the application that automatically makes several images stored in user's device into one video by using the different climax patterns appearing for each film genre. For the classification of the genre characteristics of movies, a climax pattern model style was created by analyzing the genre of domestic movie drama, action, horror and foreign movie drama, action, and horror. The climax pattern was characterized by the change in shot size, the length of the shot, and the frequency of insert use in a specific scene part of the movie, and the result was visualized. The model visualized by genre developed as a template using Firebase DB. Images stored in the user's device were selected and matched with the climax pattern model developed as a template for each genre. Although it is a short video, it is a feature of the proposed application that it can create an emotional story video that reflects the characteristics of the genre. Recently, platform operators such as YouTube and Naver are upgrading applications that automatically generate video using a picture or video taken by the user directly with a smartphone. However, applications that have genre characteristics like movies or include video-generation technology to show stories are still insufficient. It is predicted that the proposed automatic video editing has the potential to develop into a video editing application capable of transmitting emotions.

• Journal of Digital Contents Society
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• v.18 no.1
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• pp.71-77
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• 2017

Virtual advertisement is an advertising technique that using computer graphic in a media production such as a sports image for inserting product image, logo, advertising slogan, etc. Recently, the image insertion of virtual advertisement is actively spreading due to the satisfaction of technical element for the image insertion of virtual advertisement in sports advertisement by increasing of the image processing technology and the computing performance. In addition, image processing technology for automatic insertion has become an important research field in the virtual advertisement field. In this paper, we propose the method of extracting less-informative region by using image processing technique and machine learning to insert a virtual advertisement automatically in sports image. The proposed method analyzes the brightness level of image through the histogram and extracts the less-informative region using the machine learning method.