• Title/Summary/Keyword: 하이브리드 이미지

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A Study on the Aesthetic Ontology of Digital Hybrid Image (디지털 하이브리드 이미지 존재론에 관한 연구)

  • Jeong, Heon
    • The Journal of the Korea Contents Association
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    • v.19 no.1
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    • pp.117-124
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    • 2019
  • This paper investigates how digital technology innovates the aesthetic ontology of film images. The modern civilization of computer and internet bring about the new ontology of film images. Digital hybrid image expands the contradictory combination of physical reality and filmic fantasy. It is inevitable to recount Walter Benjamin' s concept of mechanical reproduction in the age of digital cinema. The modern condition of image arts changes the concept of mechanical reproduction to the logic of digital configuration. In addition, computer simulation innovates the film aesthetics of montage to the aesthetics of digital collage. The technological and aesthetical development of computer simulation and internet network leads to the new ontology of digital hybrid images. This study suggests a new theoretic point that the aesthetic ontology of digital hybrid images leads to the expansion of filmic fantasy and expression.

A Study on the Retrieval Effectiveness Based on Image Query Types (이미지 인지 유형 및 검색질의 방식에 따른 검색 효율성에 관한 연구)

  • Kim, Seonghee;Yi, Keunyoung
    • Journal of the Korean Society for Library and Information Science
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    • v.47 no.3
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    • pp.321-342
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    • 2013
  • The purpose of this study was to compare and evaluate retrieval effectiveness of three types of image perception using different retrieval methods. Image types included specific, general, and abstract topics. The retrieval method included text only search, query by example (QBE) search, and a hybrid/hybrid search. Thirty-two college students were recruited for searching topics using Google image search system. The search results were compared with One-Way and Two-Way ANOVA. As a result, text search and hybrid search showed advantage when searching for specific and general topics. On the other hand, the QBE search performed better than both the text-only and hybrid search for abstract topics. The results have implications for the implementation of image retrieval systems.

Intraoral Scan for Virtual Skull-Dentition Hybrid Images of Young Patients (가상 골격-치열 하이브리드 이미지 생성을 위한 구강 스캐너의 활용)

  • Lee, Joohee;Yang, ByoungEun;Lee, Hyelim
    • Journal of the korean academy of Pediatric Dentistry
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    • v.49 no.1
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    • pp.57-64
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    • 2022
  • Additional dentition images are needed because the dentitions are distorted in cone-beam computed tomography (CBCT) due to streak artifacts and non-uniformity of the x-ray beam. The purpose of this study is to evaluate the feasibility of improving the dentition image of CBCT scan with intraoral scanner instead of plaster models. Maxilla images from plaster models, two intraoral scanners, and CBCT of 20 patients aged 12 to 18 were used in this study. With one of the intraoral scanners, the full arch was scanned by three segments and combined into a complete full arch. Virtual skull-dentition hybrid images from intraoral scanners were superimposed with the images from plaster models to evaluate the coordinate value difference and distance at reference points. The results showed that the coordinate value difference and distance were smallest with segmented intraoral scan, which showed only 2 ㎛ distance. Intraoral scan may provide good dentition images for virtual skull-dentition images.

Personalized Hybrid Outfit Recommendation Based on Image Dissimilarity (이미지 비유사도 기반의 개인화된 하이브리드 의류 추천 모델)

  • Jeong-Won Yang;Ji-Hye Baek;Hyon-Hee Kim
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.05a
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    • pp.459-460
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    • 2023
  • 기존의 추천시스템은 상품간 혹은 사용자 간의 유사도를 기반으로 작동한다. 하지만 이는 사용자가 유사한 상품 추천 속에 갇히게 되는 필터 버블의 문제와 추천시스템의 고질적인 문제인 데이터 희소성 문제를 피할 수 없게 된다. 따라서 본 연구에서는 사용자의 취향과 체형 정보를 반영하여 사용자의 평점을 예측하는 협업 필터링 기반 딥러닝 추천과 상품간 비유사성을 고려하여 사용자의 평점을 예측하는 내용 기반 추천을 혼합한 하이브리드 추천 모델을 구축하여 기존 추천시스템의 문제점을 해결하였다. 모델의 성능평가를 위해 인터넷 의류 쇼핑몰을 대상으로 유사한 이미지를 활용한 하이브리드 추천 모델과 NDCG 값을 비교하였고 유사도가 낮은 이미지를 활용한 모델이 더 우수한 성능을 보였다. 이는 다른 제품과는 달리 소비자가 의류를 구매할 경우 이미 구매한 상품과 유사한 상품보다는 유사하지 않은 상품을 구매할 가능성이 크다는 것을 보여준다.

Design and Evaluation of Hybrid Tag Interface (하이브리드 태그 인터페이스 디자인 및 평가)

  • 윤형민;이창수;신현구;권오영;손영우;한탁돈
    • Journal of KIISE:Software and Applications
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    • v.31 no.11
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    • pp.1483-1495
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    • 2004
  • Recently, new computing technologies are emerging from various life environments, as a result of the spread of network environments and the advent of new computing devices. This trend in computing technology is called "Ubiquitous computing" and is being developed to provide a convenient lifestyle through the dynamic integration of physical objects and digital information. The hybrid tag interface suggested in this paper is a usage model that integrates widely used image codes and recently applied RFIDs in various applications. On the basis of this concept, we eventually designed five different models such as Dual, Partial, Relative, Rebind and Discrete types according to their interrelation. In this paper, the characteristics of tag interfaces in the form of image codes and RFIDs are analyzed and the hybrid tag interface is proposed here for more efficient and convenient interface.

New Hybrid Approach of CNN and RNN based on Encoder and Decoder (인코더와 디코더에 기반한 합성곱 신경망과 순환 신경망의 새로운 하이브리드 접근법)

  • Jongwoo Woo;Gunwoo Kim;Keunho Choi
    • Information Systems Review
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    • v.25 no.1
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    • pp.129-143
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    • 2023
  • In the era of big data, the field of artificial intelligence is showing remarkable growth, and in particular, the image classification learning methods by deep learning are becoming an important area. Various studies have been actively conducted to further improve the performance of CNNs, which have been widely used in image classification, among which a representative method is the Convolutional Recurrent Neural Network (CRNN) algorithm. The CRNN algorithm consists of a combination of CNN for image classification and RNNs for recognizing time series elements. However, since the inputs used in the RNN area of CRNN are the flatten values extracted by applying the convolution and pooling technique to the image, pixel values in the same phase in the image appear in different order. And this makes it difficult to properly learn the sequence of arrangements in the image intended by the RNN. Therefore, this study aims to improve image classification performance by proposing a novel hybrid method of CNN and RNN applying the concepts of encoder and decoder. In this study, the effectiveness of the new hybrid method was verified through various experiments. This study has academic implications in that it broadens the applicability of encoder and decoder concepts, and the proposed method has advantages in terms of model learning time and infrastructure construction costs as it does not significantly increase complexity compared to conventional hybrid methods. In addition, this study has practical implications in that it presents the possibility of improving the quality of services provided in various fields that require accurate image classification.

Technology of Hybrid streaming Service based on DASH (DASH 기반의 하이브리드 스트리밍 서비스 기술)

  • Song, Seul-Ki;Wee, Jung-Wook;Kwon, Ki-Won
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2017.11a
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    • pp.187-188
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    • 2017
  • 최근 유럽과 미국을 중심으로 하이브리드 라디오 서비스 도입을 위한 표준, 기술 개발 및 서비스가 진행 중이다. 하이브리드 라디오는 기존 라디오 방송망과 통신망을 결합해 고품질 오디오 및 부가 데이터 서비스를 제공할 수 있는 서비스이다. 이를 통해 사용자들은 지상파 라디오 방송망에서 오디오를 제공 받으며 인터넷을 통해 실시간으로 고해상도 이미지와 영상 및 라디오 부가 정보 등을 제공받을 수 있다. 본 논문에서는 하이브리드 라디오 서비스가 구현되기 위해 인터넷 라디오 스트리밍 기술에 대해 살펴보고, 유럽 하이브리드 라디오 표준에서 라디오스트리밍 방식에 DASH를 적용한 인터넷 스트리밍 서비스 기술을 소개한다. 현재 DASH 방식은 MPEG에서 HTTP 기반의 적응적 스트리밍 서비스 포맷을 통일하기 위해 정의된 기술 방식이다. 이를 하이브리드라디오 스트리밍 제공 기술로 적용할 수 있는 방안을 제시한다.

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CNN-ViT Hybrid Aesthetic Evaluation Model Based on Quantification of Cognitive Features in Images (이미지의 인지적 특징 정량화를 통한 CNN-ViT 하이브리드 미학 평가 모델)

  • Soo-Eun Kim;Joon-Shik Lim
    • Journal of IKEEE
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    • v.28 no.3
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    • pp.352-359
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    • 2024
  • This paper proposes a CNN-ViT hybrid model that automatically evaluates the aesthetic quality of images by combining local and global features. In this approach, CNN is used to extract local features such as color and object placement, while ViT is employed to analyze the aesthetic value of the image by reflecting global features. Color composition is derived by extracting the primary colors from the input image, creating a color palette, and then passing it through the CNN. The Rule of Thirds is quantified by calculating how closely objects in the image are positioned near the thirds intersection points. These values provide the model with critical information about the color balance and spatial harmony of the image. The model then analyzes the relationship between these factors to predict scores that align closely with human judgment. Experimental results on the AADB image database show that the proposed model achieved a Spearman's Rank Correlation Coefficient (SRCC) of 0.716, indicating more consistent rank predictions, and a Pearson Correlation Coefficient (LCC) of 0.72, which is 2~4% higher than existing models.

A study of a Japanese goblin character:Centered around the making method of goblins' image (요괴 캐릭터 연구:요괴 이미지의 생성원리를 중심으로)

  • Kim, Yoon-A
    • Cartoon and Animation Studies
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    • s.16
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    • pp.141-163
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    • 2009
  • This paper examined the goblin characters in Japan animation. The meaning of the goblin in this paper is not a just monster. They have a spirit. This concept is based on animism in japanese mind. I attempted a chase of goblin character's making methods. My theoretical approaches lean on the concepts "inter-textuality" of Julia Kristeva and "text" of Roland Barthes. First of all, I compared some beings of the old chinese myth-geographical book with some characters of Japan animation . The making method of goblin characters is two. One is 'Hybrid', the other is 'Mutant'. And than I appled to Japanese traditional image, "Baek-kuy-ya-hang-do"(hundreds of goblins' parade). The making method of goblins is combined to a inter-textual way as hybrid or mutant.

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Optoelectrical Characteristics of Electrospun PVP Nanofibers Incorporated with ZnS:Mn Nanoparticles (전기방사법으로 제작된 ZnS:Mn/PVP 하이브리드 나노사의 발광특성)

  • Kim, Kwang-Eun;Cho, Kyoung-Ah;Kwak, Ki-Yeol;Yoon, Chang-Joon;Kim, Sang-Sig
    • Proceedings of the KIEE Conference
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    • 2009.07a
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    • pp.1599_1600
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    • 2009
  • ZnS:Mn 나노입자가 포함된 PVP 고분자 하이브리드 나노사를 전기방사법으로 제작하였다. 하이브리드 나노사의 표면 특성은 주사 전자 현미경으로 관측하였으며, 형광분광광도계와 공초점 주사현미경 (CLSM)을 이용하여 하이브리드 나노사의 발광특성을 조사하였다. 순수한 PVP 나노사와 하이브리드 나노사의 photoluminescence (PL) 스펙트럼 비교를 통하여, 586 nm에서 관찰된 PL 피크는 ZnS:Mn 나노입자에서 기인되었음을 알 수 있었으며, CLSM을 이용하여 ZnS:Mn 나노입자의 발광을 이미지화 하였다.

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