• Title/Summary/Keyword: image context

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An Approach Toward Image Access Points based on Image Needs in Context of Everyday Life (일상생활 맥락 정보요구 기반의 이미지 접근점 확장에 관한 연구)

  • Chung, EunKyung;Chung, SunYoung
    • Journal of the Korean Society for information Management
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    • v.29 no.4
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    • pp.273-294
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    • 2012
  • Images have been substantially searched and used due to not only the advanced internet and digital technologies but the characteristics of a younger generation. The purpose of this study aims to discuss the ways on expanding the access points to images by analyzing the needs of users in context of everyday life. In order to achieve the purpose of this study, 105 questions of image seeking in NAVER, which is one of social Q&A services in Korea, were analyzed. For the analysis, a two-dimensional framework with image uses and image attributes were utilized. The findings of this study demonstrate that considerable use purposes on data oriented pole, such as information processing, information dissemination and learning are identified. On the other hand, image attributes from the needs of image show that non-visual aspects including contextual attributes are recognized substantially in addition to the traditional semantic attributes.

Context-free multiple-object segmentation using attention operator based on modified generalized symmetry transform (일반화 대칭변환을 변형한 관심 연산자에 의한 사전 정보없는 다중 물체 분할)

  • 구태모;전준형;최흥문
    • Journal of the Korean Institute of Telematics and Electronics C
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    • v.34C no.4
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    • pp.36-44
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    • 1997
  • An efficient context-free multiple-object segmentation using attention operator based on modified generalized symmetry transform is proposed and implemented by modifying a radial basis function network. By using the difference of intensity gradient, instead of te intensity gradient itself, in generalized symmetry tranform so as to make the attention operator to preserve the edges of the objects shape, an efficient context-free multiple-object segementation is proposed in which no a priori shape informtion on the objects is requried. The attention operator is implemented by using a modified radial basis function network which can reflect symmetry, and by using te edge pyramid of the input image, both of the local and the global symmetry of the objects are reflected simultaneously to make the multiple-object with different sizes be segmented with a singel fixed-size $n\timesm$ can be done with O(n) complexity. The simulaton results show that the proposed algorithm can efficiently be used in context-free multiple-object segmentation even for the low contrast IR images as well as for the images from the camera.

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Improved CABAC Method for Lossless Image Compression (무손실 영상 압축을 위한 향상된 CABAC 방법)

  • Heo, Jin;Ho, Yo-Sung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.6C
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    • pp.355-360
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    • 2011
  • In this paper, we propose a new context-based adaptive binary arithmetic coding (CABAC) method for lossless image compression. Since the conventional CABAC in H.264/AVC was originally designed for lossy coding, it does not yield adequate performance during lossless coding. Therefore, we proposed an improved CABAC method for lossless intra coding by considering the statistical characteristics of residual data in lossless intra coding. Experimental results showed that the proposed method reduced the bit rate by 18.2%, compared to the conventional CABAC for lossless intra coding.

Local Context based Feature Extraction for Efficient Face Detection (효율적인 얼굴 검출을 위한 지역적 켄텍스트 기반의 특징 추출)

  • Rhee, Phill-Kyu;Xu, Yong Zhe;Shin, Hak-Chul;Shen, Yan
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.11 no.1
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    • pp.185-191
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    • 2011
  • Recently, the surveillance system is highly being attention. Various Technologies as detecting object from image than determining and recognizing if the object are person are universally being used. Therefore, In this paper shows detecting on this kind of object and local context based facial feather detection algorithm is being advocated. Detect using Gabor Bunch in the same time Bayesian detection method for revision to find feather point is being described. The entire system to search for object area from image, context-based face detection, feature extraction methods applied to improve the performance of the system.

A study for object analysis based on context awareness scenario (상황인식 시나리오 기반 객체분석에 대한 연구)

  • Song, Jiyoung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.5
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    • pp.3153-3158
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    • 2014
  • Children in schoolzone accidents occur frequently in order to actively respond to the situation on the module for automated recognition research. By the vehicle penetration such like schoolzone, child object recognition, and GPS coordination information, the monitoring scenario can be constructed, and if an event occurs corresponding to strategic scenario so that suitable reaction can be provided to increase safety level to the schoolzone. In this paper, a GPS sensor and the image sensor and the monitoring server on the network based on the integration of context-aware methods have been studied. The image sensor section and the GPS section through analysis of the situation analysis and recognition of the object based on the scenario can actively cope with the situation according to the methods proposed.

Online-Based Local Government Image Typology: A Case Study on Jakarta Provincial Government Official YouTube Videos

  • Pratama, Arif Budy
    • Journal of Contemporary Eastern Asia
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    • v.16 no.1
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    • pp.1-21
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    • 2017
  • The Jakarta Provincial Government utilizes the YouTube channel to interact with citizens and enhance transparency. The purpose of this study is to explore online perceptions of local government image perceived by online audiences through the YouTube platform. The concepts of organizational image and credibility in the political image are adapted to analyze online public perceptions on the Jakarta Provincial Government image. Using the video summarization approach on Three hundred and forty-six official YouTube videos, which were uploaded from 1 March 2016 to 31 May 2016, and content analysis of Eight thousand two hundred and thirty-seven comments, this study shows both political and bureaucratic image emerge concurrently in the Jakarta Provincial Government case. The typology model is proposed to describe and explain the four image variations that occurred in the case study. Practical recommendations are suggested to manage YouTube channel as one of the social media used in the local government context.

Extending Semantic Image Annotation using User- Defined Rules and Inference in Mobile Environments (모바일 환경에서 사용자 정의 규칙과 추론을 이용한 의미 기반 이미지 어노테이션의 확장)

  • Seo, Kwang-won;Im, Dong-Hyuk
    • Journal of Korea Multimedia Society
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    • v.21 no.2
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    • pp.158-165
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    • 2018
  • Since a large amount of multimedia image has dramatically increased, it is important to search semantically relevant image. Thus, several semantic image annotation methods using RDF(Resource Description Framework) model in mobile environment are introduced. Earlier studies on annotating image semantically focused on both the image tag and the context-aware information such as temporal and spatial data. However, in order to fully express their semantics of image, we need more annotations which are described in RDF model. In this paper, we propose an annotation method inferencing with RDFS entailment rules and user defined rules. Our approach implemented in Moment system shows that it can more fully represent the semantics of image with more annotation triples.

Wavelet Transform Image Compression Using Shuffling and Correlation (Shuffling 및 상관도를 이용한 웨이블릿 영상 압축)

  • 김승종;민병석;정제창
    • Proceedings of the IEEK Conference
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    • 1999.11a
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    • pp.609-612
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    • 1999
  • In this paper, we propose wavelet transform image compression method such that an image is decomposed into multiresolutions using biorthogonal wavelet transform with linear phase response property and decomposed subbands are classified by maximum classification gain. The classified data is quantized by allocating bits in accordance with classified class informations within subbands through arbitrary set bit allocation algorithm. And then, quantized data in each subband are entropy coded. The proposed coding method is that the quantized data perform shuffling before entropy coding in order to remove sign bit plane. And the context is assigned by maximum correlation direction for bit plane coding.

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New Conditions and Definition of Images in Digital Era (디지털시대 영상물의 새로운 조건과 정의)

  • Chang, Ji-Hun
    • Journal of Digital Convergence
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    • v.5 no.2
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    • pp.155-165
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    • 2007
  • The meaning of images are changed rapidly by a time, and the images' social function and skills are different by times. Nowadays, the reasons to have different meanings of images are the different ways of representation and reproduction of images by new digital technologies. However, the images are communicating with each other, and the image makers should have responsibility to represent the images. Also, the images should be concerned in social, cultural context, and focused on positive ways to represent. It is hard to predict the future of images, but people shouldn't be controled by manipulated digital images. Therefore, image makers need to have right ethics and morals in digital era not to be controled by commercial enterprises.

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Effects of Brand-Self Image Congruence on Attitudes toward Children's Wear Brands -Focus on Children's Image, Actual Image and Ideal Image- (브랜드-자기 일치성이 아동복 브랜드 태도에 미치는 영향 -아동 이미지, 실제 이미지, 이상적 이미지를 중심으로-)

  • Kim, Ji-Yeon;Lee, Kyu-Hye
    • Journal of the Korean Society of Clothing and Textiles
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    • v.36 no.11
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    • pp.1137-1147
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    • 2012
  • Self-congruency plays an important role in the context of mothers' shopping for children's clothing because purchasers are inconsistent with users. This study incorporates three dimensions of self-congruencies (congruency between children's image perceived by their mothers and brand image, congruency between mothers' actual self-image and brand image, and congruency between mothers' ideal self-image and brand image) due to purchaser-user inconsistency in children's clothing consumption. A total of 574 mothers with children aged 6 to 10 participated in a web-based survey. Descriptive statistical analysis, factor analysis, reliability analysis and multiple regression analysis were conducted. Self-brand image congruency variables have a different influence on brand attitudes when mothers purchase children's clothing. Brand attitude is influenced positively only when the perceived children's image coincides with brand image and when mothers' ideal self-image corresponds to brand image. In contrast, mothers' actual self-image and brand image congruence negatively influence brand attitude. Further investigation indicates that there are different effects of dimensions of self-congruency on brand attitude according to the characteristics of mothers and their children. This study suggests that when there is purchaser-user inconsistency, different types of image congruence has to be implemented to assess the impact on brand attitudes.