• 제목/요약/키워드: Scene text

검색결과 117건 처리시간 0.023초

전래동화 <해님과 달님>의 이본(異本) 비교 (Comparison with the Alternative Versions of the Korean Fairy Tele )

  • 송정숙
    • 한국도서관정보학회지
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    • 제36권1호
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    • pp.47-69
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    • 2005
  • 구전설화에 바탕을 두고 있는 전래동화는 다양한 이본이 존재하는데, 어린이들을 위해 어떤 책을 선택하는 것이 좋을지, 즉 어느 책의 본문이 가장 좋을지가 늘 의문이었다. 이 연구는 이 의문을 해결하기 위하여 시도된 것으로 원문서지학의 연구방법으로 문헌을 비평하였다. 널리 알려진 전래동화 <해님과 달님>의 이본 6편을 대상으로 줄거리 파악을 통해 구조를 분석하고 이를 토대로 제목, 배경, 등장인물, 문체, 기능을 비교 분석하였다. 그 결과 6편의 이본 가운데 어효선본의 본문이 비교적 우수하다고 판단되었다. 어효선본에서 조력자인 옥황상제를 하느님으로 바꾸고, 문체를 구어체로 바꾸며, 해와 달이 된 오누이가 서로 바꾸는 마지막 장면을 삭제한다면 이상적인 원문이 될 것이다. 이러한 원문서지학적인 연구가 축적되고, 이러한 역량이 갖추어질 때 비로소 사서가 내용, 즉 컨텐츠에 대해서 발언할 수 있게 될 것이다.

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시각장애인 보조를 위한 영상기반 휴먼 행동 인식 시스템 (Image Based Human Action Recognition System to Support the Blind)

  • 고병철;황민철;남재열
    • 정보과학회 논문지
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    • 제42권1호
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    • pp.138-143
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    • 2015
  • 본 논문에서는 시각장애인의 장면인식 보조를 위해, 귀걸이 형 블루투수 카메라와 행동인식 서버간의 통신을 통해 휴먼의 행동을 인식하는 시스템을 제안한다. 먼저 시각장애인이 귀걸이 형 블루투수 카메라를 이용하여 원하는 위치의 장면을 촬영하면, 촬영된 영상은 카메라와 연동된 스마트 폰을 통해 인식서버로 전송된다. 인식 서버에서는 영상 분석 알고리즘을 이용하여 휴먼 및 객체를 검출하고 휴먼의 포즈를 분석하여 휴먼 행동을 인식한다. 인식된 휴먼 행동 정보는 스마트 폰에 재 전송되고 사용자는 스마트 폰을 통해 text-to-speech (TTS)로 인식결과를 듣게 된다. 본 논문에서 제안한 시스템에서는 실내 외에서 촬영된 실험데이터에 대해서 60.7%의 휴먼 행동 인식 성능을 보여 주었다.

언어학적 단서를 활용한 동화 텍스트 내 발화문의 화자 파악 (Identification of Speakers in Fairytales with Linguistic Clues)

  • 민혜진;정진우;박종철
    • 한국언어정보학회지:언어와정보
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    • 제17권2호
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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.

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동영상에서 모양 시퀀스를 이용한 동작 검색 방법 (Movement Search in Video Stream Using Shape Sequence)

  • 최민석
    • 한국멀티미디어학회논문지
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    • 제12권4호
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    • pp.492-501
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    • 2009
  • 동영상에서 객체의 동작 정보는 장면의 내용을 분류하고 구분하는 중요한 정보로 이용될 수 있다. 본 논문에서는 동영상에서 객체의 동작을 효과적으로 찾기 위한 모양기반 동작 검색 방법을 제안한다. 객체의 동작 정보는 동영상 프레임에서 객체 영역을 추출하여 연속된 2차원 모양 정보로 표현되고, 각각의 2차원 모양 정보는 모양 기술자를 이용하여 1차원 모양 특정값으로 변환된다. 순서에 따라 나열된 모양 기술자 시퀀스를 이용하여 개별 동작의 분할 과정 없이 문서에서 단어를 검색하듯이 동영상에서 객체의 동작을 검색할 수 있다. MPEG-7 모양 변화 기술자와의 성능 비교 실험을 통하여 제안된 방법이 객체의 동작 정보를 보다 효과적으로 표현할 수 있으며, 동작 검색 및 분석 응용에 적용할 수 있음을 보였다.

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A Reliability Verification of Screening Time Prediction Reporting of 'Cine-Hangeul'

  • Jeon, Byoung-Won
    • Journal of Multimedia Information System
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    • 제7권2호
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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.

Label Restoration Using Biquadratic Transformation

  • Le, Huy Phat;Nguyen, Toan Dinh;Lee, Guee-Sang
    • International Journal of Contents
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    • 제6권1호
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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.

지역적 연결요소 및 에지 구조 성분 특징을 이용한 자연이미지로부터 문자영역 검출 (Text Region Detection Using Regional Connected Component and Edge Structure Component Feature From Natural Scene Images)

  • 박종천;황동국;권교현;전병민
    • 한국산학기술학회:학술대회논문집
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    • 한국산학기술학회 2009년도 춘계학술발표논문집
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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.

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Framework for Content-Based Image Identification with Standardized Multiview Features

  • Das, Rik;Thepade, Sudeep;Ghosh, Saurav
    • ETRI Journal
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    • 제38권1호
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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.

Questions of Social Order in Herman Melville's "Benito Cereno": The Conflict Between Babo's Plot and Delano's Abject Fear

  • Kim, Hyejin
    • 영어영문학
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    • 제55권6호
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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.

Indoor Semantic Data Dection and Indoor Spatial Data Update through Artificial Intelligence and Augmented Reality Technology

  • Kwon, Sun
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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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.

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