• Title/Summary/Keyword: Scene text

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Hangul Text Detection using Text Corner Edge Feature Analysis in Natural Scene Images (자연영상에서 코너 에지 특징 분석방법을 이용한 한글 텍스트 검출기법에 관한 연구)

  • Park Jong-Cheon;Kwon Kyo-Hyun;Jun Byung-Min
    • Proceedings of the Korea Contents Association Conference
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    • 2005.11a
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    • pp.379-383
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    • 2005
  • 본 연구에서는 자연 이미지에서 한글 텍스트가 갖고 있는 에지 코너 특징을 이용한 한글 텍스트 검출방법을 제안한다. 자연영상으로부터 에지를 검출하고, 검출된 에지를 20종류의 에지 구조 성분을 갖는 에지 맵을 생성한다. 생성된 에지 맵에서 한글 텍스트 특징 갖는 특징들을 조합하여 모두 8가지의 텍스트 영역 후보 특징을 추출한다. 추출된 텍스트 영역의 특징을 수평 및 수직방향으로 검사하여 텍스트의 시작 라인과 끝라인을 검출하여 텍스트 영역의 수평좌표를 구한다. 추출된 텍스트 후보 영역에서 최종적으로 텍스트 영역을 결정한다. 제안한 방법은 다양한 종류의 자연 이미지에서 텍스트 영역을 검출에서 좋은 성능을 나타냈다.

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Scene Text Detection Using Color-Based Binarization and Text Region Verification Using Support Vector Machine (색기반 이진화를 이용한 장면 텍스트 추출과 써포트 벡터머신을 이용한 텍스트 영역 검증)

  • Jang, Dae-Geun;Kim, Eui-Jeong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2007.06a
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    • pp.161-163
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    • 2007
  • 기존의 텍스트 추출을 위한 이진화 방법은 입력 이미지를 명도 이미지로 변환한 뒤 이진화 하는 방법을 사용하였다. 이러한 방법은 칼라 이미지에서는 극명히 구분되는 색이라 할지라도 명도 이미지로 변환하는 과정에서 같은 밝기를 같게 되는 경우(예를 들어, 배경은 붉은색, 텍스트는 초록색), 텍스트를 추출하는 데 어려움이 있다. 본 논문에서는 이러한 문제를 해결하기 위해 입력 이미지를 R, G, B로 분리하고 각각을 이진화 하여 텍스트를 추출하고 다해상도 웨이블릿(Wavelet) 변환을 이용하여 텍스트의 획 특징을 추출하여 추출된 특징들을 SVM(Support Vector Machine) 분류기로 검증하여 최종 텍스트 영역을 확정한다. 제안한 방법을 적용함으로써 명도 정보만으로는 추출하기 어려웠던 텍스트 영역을 효과적으로 추출하고 텍스트와 구별하기 어려운 영역을 획수준으로 검증할 수 있었다.

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Scene Text Extraction in Natural Images Using Color Variance Feature (색 변화 특징을 이용한 자연이미지에서의 장면 텍스트 추출)

  • 송영자;최영우
    • Proceedings of the IEEK Conference
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    • 2003.07e
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    • pp.1835-1838
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    • 2003
  • Texts in natural images contain significant and detailed informations about the images. Thus, to extract those texts correctly, we suggest a text extraction method using color variance feature. Generally, the texts in images have color variations with the backgrounds. Thus, if we express those variations in 3 dimensional RGB color space, we can emphasize the text regions that can be hard to be captured with a method using intensity variations in the gray-level images. We can even make robust extraction results with the images contaminated by light variations. The color variations are measured by color variance in this paper. First, horizontal and vertical variance images are obtained independently, and we can fine that the text regions have high values of the variances in both directions. Then, the two images are logically ANDed to remove the non-text components with only one directional high variance. We have applied the proposed method to the multiple kinds of the natural images, and we confirmed that the proposed feature can help to find the text regions that can he missed with the following features - intensity variations in the gray-level images and/or color continuity in the color images.

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An Ensemble Classifier Based Method to Select Optimal Image Features for License Plate Recognition (차량 번호판 인식을 위한 앙상블 학습기 기반의 최적 특징 선택 방법)

  • Jo, Jae-Ho;Kang, Dong-Joong
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.1
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    • pp.142-149
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    • 2016
  • This paper proposes a method to detect LP(License Plate) of vehicles in indoor and outdoor parking lots. In restricted environment, there are many conventional methods for detecting LP. But, it is difficult to detect LP in natural and complex scenes with background clutters because several patterns similar with text or LP always exist in complicated backgrounds. To verify the performance of LP text detection in natural images, we apply MB-LGP feature by combining with ensemble machine learning algorithm in purpose of selecting optimal features of small number in huge pool. The feature selection is performed by adaptive boosting algorithm that shows great performance in minimum false positive detection ratio and in computing time when combined with cascade approach. MSER is used to provide initial text regions of vehicle LP. Throughout the experiment using real images, the proposed method functions robustly extracting LP in natural scene as well as the controlled environment.

The Aesthetic Characteristics of Korean Superhero Film : Focus on Plot and Character of (한국형 슈퍼히어로 영화의 영상미학적 특성 연구 -영화 <전우치>의 플롯구조와 인물구성을 중심으로-)

  • Hyun, Seung-Hoon
    • The Journal of the Korea Contents Association
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    • v.13 no.10
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    • pp.132-139
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    • 2013
  • This research considered the aesthetic factors of the Korean style superhero film through the analysis of text of . Basically, the various elements including the structure of the story, characters, mise en scene, and etc. are included in the aesthetic factors. Therefore, in this research, the organization of other aesthetic elements and characteristics including the characters and mise en scene, and etc. were analyze based upon the first analysis about the structure of . And the theoretical backgrounds for the research were 'The Poetics' of Aristotle. The reason why this movie selects the movie as the research text specially was that had the plot and genre style compared with the existing Hollywood superhero film. Consequently, the research could find the communities and differences for the aesthetic features between Hollywood superhero film and .

A Multimedia Tutorial system for Learning the French Language

  • Jho, Gook-Hyung;Jang, Jae-Hyuk;Sim, Gab-Sig
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.1
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    • pp.191-198
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    • 2016
  • This paper aims to present how to design and implement a multimedia tutorial system for the self-learning French language using Director with additional tools. To implement a multimedia tutorial system we need to design several steps. First, we should choose the level of the users and design tutorial. Second, we should prepare all materials such as sounds, graphics, text and video. Finally, we should implement the selected elements and control the educational software. Due to the nature of the paper, it must emphasize French basic conversation to make environment that be used in each scene and the scene of the context dialog. In view of the fact that the fitness of each content utilization field of multimedia authoring tool is high, it is possible as part of the system sizing process of the manufacturing process, to impart its meaning. This learning-contents are composed of 10 units each situation, and we anticipate there are the several effects of this system on basic French students. This system helps lecturer get French students interested in lessons, and enables learner to learn French of the role of iterative practice by linking image and sound. Also this system helps learners to prepare and review French studying after a lesson and allows leaners to maximize their efficiency. The future of this work is to implement this system on the app.

A Study on the Expression of Symbolism in the Production of Animation for the Original Work 'Grave of the Fireflies(火垂 墓)' ('반딧불의 묘' 원작에 대한 애니메이션 연출의 상징성 표현 연구)

  • Kim Il-Tae;No Su-Ah
    • The Journal of the Korea Contents Association
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    • v.5 no.4
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    • pp.111-121
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    • 2005
  • The appearance of digital culture swiftly has changed the culture in domestic and international arenas before and after the year 2004 and the image and animation have become two of the most important expression media in contemporary age. Among the Japanese animations that have demonstrated the rapid development of cartoon and animation in the world, the director Dakahata Isao's 'Graves of the Fireflies' that has influenced many works has been evaluated as one of the noticeable works that has a unique method and scenario dramatization in terms of producing the original novel into an animation. This study investigates the metaphor and symbolism shown in this work according to each sequence, divides the production ability in the work into three elements and applies them to the important elements such as camera, colors and mise-en-scene when the original work is depicted into image. It can be summarized in more detail as in the following: firstly, I study the rhythm of camera corresponding to the symbolism of the angle that the camera has and production; secondly, I analyze the artistic elements appeared in the process of expressing the original work into the image, especially the production for the colors and symbolism contained in them and the composition of screen. Thirdly, I analyze how effectively the atmosphere for the situations for the original work is expressed in animation with the aid of one of the image elements, mis-en-scene. It is expected that the analyzed findings will be effective as a way of overcoming the limitation of expressions that the original work in text and the study on these processes will become good examples to the relevant workers and will be the good references to the producers who are interested in the creation of animation in Korea.

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Robert Southey, Colonialism, and the East: The Case of Thalaba the Destroyer (로버트 사우디, 식민주의, 그리고 동양 -『파괴자 탈라바』를 중심으로)

  • Cho, Heejeong
    • Journal of English Language & Literature
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    • v.58 no.5
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    • pp.859-880
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    • 2012
  • This paper aims at analyzing Robert Southey's Thalaba the Destroyer in relation to cultural colonialism of the British Romantic period and investigating the ways in which this text portrays the Other through its literary representation of the East. Especially, this paper attempts to show that the Oriental world constructed in Southey's text reveals the imperial subject's self-conscious awareness of its unstable relation with the unknown Other. For this purpose, this paper attends to the formal aspects of Thalaba the Destroyer, examining the process by which the reader's generic expectations about the "epic" undergo complex revisions and frustrations through reading this text. The epic elements contained in Thalaba the Detroyer include the battle between good and evil and the hero's moral epiphany arising from his struggle against malicious enemies. Yet, Thalaba the Destroyer constantly destabilizes the distinction between self and other by leading the reader to recognize the uncomfortable similarity between the poem's tyrannical figures and imperialistic monarchs in the Western civilization. Thus, when the hero enacts a revolution against despotism, the resistant power points not only to the imagined false kingdom within the text, but to the core of the real Empire that seeks to construct its own "garden" in the global scene. In addition, Southey's "panoramic" description of Oriental objects and stories in his footnotes lacks a framing perspective, erasing and de-stabilizing subject/object distinctions. In these footnotes, he exposes his profound attraction to the culture of "Other" and also conveys his aspiration to transforming Eastern myths and stories into profitable literary texts. Southey's attitude to the East in the footnotes appears to be partially grounded upon the interest of mercantile capitalists of the West, who need to discover potential commodities. Yet, simultaneously, he reveals a sense of moral hesitation about his own desire for the materiality of the East, along with deep anxiety arising from the fear of punishment.

Scene Text Extraction in Natural Images using Hierarchical Feature Combination and Verification (계층적 특징 결합 및 검증을 이용한 자연이미지에서의 장면 텍스트 추출)

  • 최영우;김길천;송영자;배경숙;조연희;노명철;이성환;변혜란
    • Journal of KIISE:Software and Applications
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    • v.31 no.4
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    • pp.420-438
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    • 2004
  • Artificially or naturally contained texts in the natural images have significant and detailed information about the scenes. If we develop a method that can extract and recognize those texts in real-time, the method can be applied to many important applications. In this paper, we suggest a new method that extracts the text areas in the natural images using the low-level image features of color continuity. gray-level variation and color valiance and that verifies the extracted candidate regions by using the high-level text feature such as stroke. And the two level features are combined hierarchically. The color continuity is used since most of the characters in the same text lesion have the same color, and the gray-level variation is used since the text strokes are distinctive in their gray-values to the background. Also, the color variance is used since the text strokes are distinctive in their gray-values to the background, and this value is more sensitive than the gray-level variations. The text level stroke features are extracted using a multi-resolution wavelet transforms on the local image areas and the feature vectors are input to a SVM(Support Vector Machine) classifier for the verification. We have tested the proposed method using various kinds of the natural images and have confirmed that the extraction rates are very high even in complex background images.

Gradation Image Processing for Text Recognition in Road Signs Using Image Division and Merging

  • Chong, Kyusoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.13 no.2
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    • pp.27-33
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    • 2014
  • This paper proposes a gradation image processing method for the development of a Road Sign Recognition Platform (RReP), which aims to facilitate the rapid and accurate management and surveying of approximately 160,000 road signs installed along the highways, national roadways, and local roads in the cities, districts (gun), and provinces (do) of Korea. RReP is based on GPS(Global Positioning System), IMU(Inertial Measurement Unit), INS(Inertial Navigation System), DMI(Distance Measurement Instrument), and lasers, and uses an imagery information collection/classification module to allow the automatic recognition of signs, the collection of shapes, pole locations, and sign-type data, and the creation of road sign registers, by extracting basic data related to the shape and sign content, and automated database design. Image division and merging, which were applied in this study, produce superior results compared with local binarization method in terms of speed. At the results, larger texts area were found in images, the accuracy of text recognition was improved when images had been gradated. Multi-threshold values of natural scene images are used to improve the extraction rate of texts and figures based on pattern recognition.