• Journal of Korean Library and Information Science Society
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• v.36 no.1
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• pp.47-69
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• 2005

The aim of this paper is to evaluate the text of six alternative versions of Korean fairy tale The Sun and the Moon. So the author took a textual bibliographical study of those versions in a comparative analysis of titles, backgrounds, characters. styles and functions of them. On the basis of this comparative analysis, the version of Hyo-Sun Eu was selected as a good text. In the version of Hyo-Sun Eu. if the helper In the story, King of Heaven represented in the form of Taoism would change into Heaven represented in the form of God, and the literary style change into the colloquial style, and the last scene that the Sun Brother turns to the Sun Sister and the Moon Sister to the Moon Brother would be removed, this version will be the best one.

• Journal of KIISE
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• v.42 no.1
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• pp.138-143
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• 2015

In this paper we develop a novel human action recognition system based on communication between an ear-mounted Bluetooth camera and an action recognition server to aid scene recognition for the blind. First, if the blind capture an image of a specific location using the ear-mounted camera, the captured image is transmitted to the recognition server using a smartphone that is synchronized with the camera. The recognition server sequentially performs human detection, object detection and action recognition by analyzing human poses. The recognized action information is retransmitted to the smartphone and the user can hear the action information through the text-to-speech (TTS). Experimental results using the proposed system showed a 60.7% action recognition performance on the test data captured in indoor and outdoor environments.

• Language and Information
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• v.17 no.2
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• pp.93-121
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• 2013

Identifying the speakers of individual utterances mentioned in textual stories is an important step towards developing applications that involve the use of unique characteristics of speakers in stories, such as robot storytelling and story-to-scene generation. Despite the usefulness, it is a challenging task because not only human entities but also animals and even inanimate objects can become speakers especially in fairytales so that the number of candidates is much more than that in other types of text. In addition, since the action of speaking is not always mentioned explicitly, it is necessary to infer the speaker from the implicitly mentioned speaking behaviors such as appearances or emotional expressions. In this paper, we investigate a method to exploit linguistic clues to identify the speakers of utterances from textual fairytale stories in Korean, especially in order to handle such challenging issues. Compared with the previous work, the present work takes into account additional linguistic features such as vocative roles and pairs of conversation participants, and proposes the use of discourse-level turn-taking behaviors between speakers to further reduce the number of possible candidate speakers. We describe a simple rule-based method to choose a speaker from candidates based on such linguistic features and turn-taking behaviors.

• Journal of Korea Multimedia Society
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• v.12 no.4
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• pp.492-501
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• 2009

Information on movement of objects in videos can be used as an important part in categorizing and separating the contents of a scene. This paper is proposing a shape-based movement-matching algorithm to effectively find the movement of an object in video streams. Information on object movement is extracted from the object boundaries from the input video frames becoming expressed in continuous 2D shape information while individual 2D shape information is converted into a lD shape feature using the shape descriptor. Object movement in video can be found as simply as searching for a word in a text without a separate movement segmentation process using the sequence of the shape descriptor listed according to order. The performance comparison results with the MPEG-7 shape variation descriptor showed that the proposed method can effectively express the movement information of the object and can be applied to movement search and analysis applications.

• Journal of Multimedia Information System
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• v.7 no.2
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• pp.141-146
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• 2020

Cine-Hangeul is a program that can predict the running time of a movie based on the screenplay before production. This paper seeks to verify the prediction reporting function of Cine-Hangeul, which is the standard Korean screenplay format. Moreover, this paper presents a method to increase the accuracy of the Cine-Hangeul reporting function. The objective of this paper is to offer a correction method based on scientific evidence because the current Cine-Hangeul reporting function has many errors. The verification process for five scenarios and movies confirmed that the default setting value of Cine- Hangeul's screening time prediction reporting was many errors. Cine-Hangeul analyzes the amount of textual information to predict the time of the scene and the time of the dialogue and helps predict the total time of the movie. Therefore, if a certain amount of text information is not available, the accuracy is unreliable. The current Cine-Hangeul prediction report confirms that the efficiency is high when the scenario volume is about 90 to 100 pages. As a result, prediction of screening time by Cine-Hangeul, a Korean scenario standard format program, confirmed the verification that it could secure the same level of reliability as the actual screening time by correcting the reporting settings. This verification also affirms that when applying about 50 percent of the basic set of screening time reporting, it is almost identical to the screening time.

• International Journal of Contents
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• v.6 no.1
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• pp.6-11
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• 2010

Recently, there has been research to use portable digital camera to recognize objects in natural scene images, including labels or marks on a cylindrical surface. In many cases, text or logo in a label can be distorted by a structural movement of the object on which the label resides. Since the distortion in the label can degrade the performance of object recognition, the label should be rectified or restored from deformations. In this paper, a new method for label detection and restoration in digital images is presented. In the detection phase, the Hough transform is employed to detect two vertical boundaries of the label, and a horizontal edge profile is analyzed to detect upper-side and lower-side boundaries of the label. Then, the biquadratic transformation is used to restore the rectangular shape of the label. The proposed algorithm performs restoration of 3D objects in a 2D space, and it requires neither an auxiliary hardware such as 3D camera to construct 3D models nor a multi-camera to capture objects in different views. Experimental results demonstrate the effectiveness of the proposed method.

• Proceedings of the KAIS Fall Conference
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• 2009.05a
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• pp.40-43
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• 2009

최근 모바일 영상기반 응용 분야에 관한 연구가 활발히 진행되고 있으며 모바일기기로 촬영된 영상에서 문자정보를 추출하고자 하는 많은 연구도 진행되고 있다. 자연이미지로부터 문자정보를 추출을 위한 전단계로 문자영역 검출이 필수적이다. 본 연구는 문자영역의 지역적 에지 및 연결요소 특징을 고려하여 조명 및 복잡한 배경에서도 문자영역을 검출하는 방법을 제안한다. 에지 검출은 캐니-에지 검출기로 추출하고, RGB 컬러분포 패턴을 분석하여 컬러 양자화를 함으로서 연결성분을 추출한다. 각각 추출된 에지 및 연결성분으로부터 문자후보 영역을 검출하고, 각각의 결과를 결합하여 최종적인 문자 후보 영역을 검출하고, 문자 후보 영역에 대한 검증을 수행함으로서 최종적인 문자영역을 검출한다. 제안한 방법은 다양한 환경에서 얻어진 자연이미지를 대상으로 실험한 결과, 에지 및 연결성분의 두 가지 특징을 결합함으로서 자연이미지에 존재하는 다양한 형태의 문자영역을 효과적으로 검출하였다.

• ETRI Journal
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• v.38 no.1
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• pp.174-184
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• 2016

Information identification with image data by means of low-level visual features has evolved as a challenging research domain. Conventional text-based mapping of image data has been gradually replaced by content-based techniques of image identification. Feature extraction from image content plays a crucial role in facilitating content-based detection processes. In this paper, the authors have proposed four different techniques for multiview feature extraction from images. The efficiency of extracted feature vectors for content-based image classification and retrieval is evaluated by means of fusion-based and data standardization-based techniques. It is observed that the latter surpasses the former. The proposed methods outclass state-of-the-art techniques for content-based image identification and show an average increase in precision of 17.71% and 22.78% for classification and retrieval, respectively. Three public datasets - Wang; Oliva and Torralba (OT-Scene); and Corel - are used for verification purposes. The research findings are statistically validated by conducting a paired t-test.

• Journal of English Language & Literature
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• v.55 no.6
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• pp.1123-1137
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• 2009

Revisiting the horror of slave mutiny in nineteenth century America via Julia Kristeva's concept of abject, this essay examines abject fear in Amasa Delano and Babo's subversive act to deceive Delano in Herman Melville's "Benito Cereno." Babo, the slave, exercises subversive power, thereby reversing racial hierarchy aboard the slave ship-the San Dominick. Babo's ability to mimic and control racial stereotypes exposes how nineteenth-century racial hierarchy was only a social fiction, which becomes the very source of Delano's fear. Delano's dread belies upon the possible disruption of social order triggered by Babo'sblack rebellion. In order to repress his fear, Delano consciously and unconsciously attempts to re-inscribe white dominion and reaffirm black inferiority and stereotypes by means of rationalizing the disturbing signs he witnesses on the San Dominick. When Delano discovers the realsituation of the ship, he must relinquish the abject resonance that disturbs the previous racial order. Employing a legal document, Delano re-inscribes the official position of the blacks as slaves, defining them as violent savages, and thereby silences Babo. However, Melville's text is not a testament to white power. "Benito Cereno" actually endorses abject instability to challenge racial hierarchies through the poignant image of Babo's dead gaze in the last scene of the novella. Thus, "Benito Cereno" exemplifies the recurring power of abject as a threat to social hierarchy and as a constant reminder of the falsity and insecurity of a social order.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.1170-1178
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• 2022

Indoor POI data, an essential component of indoor spatial data, has attribute information of a specific place in the room and is the most critical information necessary for the user. Currently, indoor POI data is manually updated by direct investigation, which is expensive and time-consuming. Recently, research on updating POI using the attribute information of indoor photographs has been advanced to overcome these problems. However, the range of use, such as using only photographs with text information, is limited. Therefore, in this study, and to improvement this, I proposed a new method to update indoor POI data using a smartphone camera. In the proposed method, the POI name is obtained by classifying the indoor scene's photograph into artificial intelligence technology CNN and matching the location criteria to indoor spatial data through AR technology. As a result of creating and experimenting with a prototype application to evaluate the proposed method, it was possible to update POI data that reflects the real world with high accuracy. Therefore, the results of this study can be used as a complement or substitute for the existing methodologies that have been advanced mainly by direct research.