• 제목/요약/키워드: street photo

검색결과 15건 처리시간 0.02초

온라인쇼핑몰에서 상품착장사진 배경에 대한 감성반응이 쇼핑몰에 대한 태도에 미치는 영향 (Effect of Sensibility Responses on Backgrounds of Product Photos on Consumer Attitude of Online Shopping Malls)

  • 전민정;여은아
    • 패션비즈니스
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    • 제18권2호
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    • pp.29-41
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    • 2014
  • As the online shopping mall market faces severe competition, marketers have focused on visual factors that generate positive consumer responses in order to induce more consumers. Although product photos are crucial in the communication of product information as well as in the development of positive images of online shopping mall, there was little intention the effect of diverse types of product photo. In this study, three types of backgrounds (i.e., no background, indoor background, street background) are compared in order to explore whether consumer sensibility factors are different according to photo backgrounds. Moreover, it investigates the effect of sensibility toward photo backgrounds on consumer attitude. A total of 222 consumers participated in the experiments. As a result, six sensibility factors were generated from online model photos, including structure, upscale, uniqueness, interest, simpleness, and easiness factors. Among these factors, simpleness and structure showed the highest means; simpleness was the factor indicating the differences according to photo backgrounds. Sensibility factors affecting attitude toward online shopping malls were uniqueness in the case of no background, interest in the case of indoor background, and upscale in the case of street background photo.

Korean Young People′s Fashion Style and Fashion Interest Expressed in Street Style - focusing on late teen-age and early twenty-age girls -

  • Chung, Sham-Ho
    • 한국복식학회:학술대회논문집
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    • 한국복식학회 2001년도 19th International Costume Association Congress
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    • pp.37-39
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    • 2001
  • This study intends to analyze Korean young people's fashion style and their fashion interest which is expressed in street style. Research area is Myung-dong, Sin-chon and Ewha Women's university street. After we took late teen-aged and twenty-aged girl's photo there, we analyzed their fashion style. Moreover we researched on their interest in fashion, hair style and accessory. Therefore the purpose of this study is not only to give a better understanding of young people's fashion style and fashion interest but also to make an offer data for fashion marketing by analyzing fashion style and fashion interest in street style.

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영상의 위치 정보를 위한 임베디드 지오코딩 시스템 구현 (Implementation of Embedded Geo-coding System for Image's Geo-Location)

  • 이용환;김영섭
    • 반도체디스플레이기술학회지
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    • 제7권3호
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    • pp.59-63
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    • 2008
  • Geo-coding refers to the process of associating data with location information, and the system deals with geographic identifiers expressed as latitude and longitude or street addresses. Although many services have been launched, there still remains a problem for users to create geo-coded photo with manually labeling GPS(Global Positioning System) coordinate or synchronizing with separate devices. In this paper, we design and implement a geo-coding system which utilizes the time and location information embedded in digital photographs in order to automatically categorize a personal photo collection. An included GPS receiver labels a photograph with its corresponding GPS coordinates, and the position of the camera is automatically recorded into the photo image header at the moment of capture. The place and time where the photo was taken allows us to provide context metadata on the management and retrieval of information.

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CNN을 이용한 거리 사진의 분류와 안전도 평가 (Classification and Safety Score Evaluation of Street Images Using CNN)

  • 배규호;윤정언;박인규
    • 방송공학회논문지
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    • 제23권3호
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    • pp.345-350
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    • 2018
  • CNN (convolutional neural network)은 최근 가장 주목받는 인공지능 기법 중 하나이며 특히 영상 분류에서 기존의 기법에 비해 월등한 성능을 보인다. 본 논문에서는 CNN을 이용하여 다양한 거리 사진을 분류하고, 분류 결과를 이용하여 해당 거리에 대한 안전도의 평가 방법을 제안한다. 제안하는 기법은 CNN을 이용하여 총 네 가지 유형의 거리 사진에 대하여 학습을 수행하는 과정과 학습된 네트워크 모델을 바탕으로 해당 거리 사진의 분류와 안전도를 평가하는 과정을 포함한다. 거리 사진의 학습 과정에서는 네 가지 유형의 거리 사진 데이터셋을 수집하고 이 데이터를 증강시킨 후 CNN 학습을 수행한다. 학습된 CNN 모델은 주어진 입력 영상의 분류를 정확히 수행하고, 거리의 안전도는 각 유형에 대한 확률을 조합하여 정량적으로 계산한다.

녹지량 지표로서 녹시율 개념을 도입한 서울시 가로 환경 특성 분석 (Analysis of Street Environment in Seoul by Introducing Index of Greenness in Streetscape)

  • 조용현;정용문;김광동
    • 한국조경학회지
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    • 제34권1호
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    • pp.1-9
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    • 2006
  • The purposes of this study are to develop the concept and the measurement method of IGS(Index of Greenness in Streetscape) and to analyze the present condition of street environments through field surveys of IGS in Seoul. IGS is a new index which directly expresses human's perceptions of plants in a street and defined as the area ratio of which leaves of plants occupy in an eye-level view of a person standing on the center line of a street. In practice, IGS can be calculated from a photograph taken from a center point of a street at about 1.5 meter height from the ground with single lens reflex camera equiped with 50mm standard lens. The photograph must have a special composition in a way that the center point of the photograph is positioning at the visual vanishing point of street center line. Then the IGS can be calculated by computing the percentage of the area covered with the plant leaves in the photograph. Types of streets in Seoul were classified according to road functions into 4 types. We performed field surveys and calculated IGSs from 300 sample sites in Seoul. Followings summarize some of study results. The average IGSs for arterial roads, highways, alleys and back streets are 16.91%, 16.33%, 13.97% and 7.50% respectively. The difference of average IGS values between Ginkgo biloba and Platanus occidentalis was relatively large. From observation IGSs from April 4th, 2003 to October 2nd, 2003, it was evident that the range and timing of each plant species' IGS change is not the same. According to questionnaire to public officials taking charge of street greening, the current evaluated IGS is 24.4%, and it is expected to be 40.7% in the future.

ResNet 알고리즘을 이용한 가로수 객체의 폐색영역 검출 및 해결 (A Study on Detection and Resolving of Occlusion Area by Street Tree Object using ResNet Algorithm)

  • 박홍기;배경호
    • 한국산학기술학회논문지
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    • 제21권10호
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    • pp.77-83
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    • 2020
  • 국토를 효율적으로 관리하고 도시문제를 과학적으로 해결하기 위해 최근 스마트시티, 디지털트윈 등 3차원 공간정보 관련 기술이 급격하게 발전하고 있다. 이러한 3차원 공간정보 구축은 주로 영상정보를 이용하여 객체를 3차원 입체화하고 실감형 영상인 텍스처링 영상을 추출하여 객체벽면에 영상을 부여하는 방식으로 수행된다. 하지만 객체 주변의 다양한 요인으로 인해 텍스처링 영상에서는 필연적으로 폐색영역이 발생한다. 이에 본 연구에서는 최근 기술인 딥러닝 기술 중에서 ResNet 알고리즘을 이용하여 건물 폐색을 유발하는 가로수에 대한 데이터셋을 만들고 이에 대한 해결방안을 제시하고자 한다. 연구결과 ResNet 알고리즘의 공간정보 적용 가능성을 판단하고 이를 적용한 레이블링 생성 SW 개발하여 실제 가로수를 대상으로 데이터셋을 구축하였다. 구축된 데이터셋을 텍스처링 영상에 적용하여 정확도와 재현율로 검출능력을 분석하였다. 분석결과를 위해 딥러닝 분야에서 많이 사용되고 있는 정밀도와 재현율을 이용한 F값을 적용하였으며 가로수 단일 객체가 포함된 건물의 측면부 영상과 경사 영상에 대해서는 높은 F값을 도출하여 우수한 성과를 확인하였으나, 같은 해상도를 가진 건물 전면부 영상에서는 그림자 등의 요인으로 F값이 낮음을 확인하였다.

1960년대 청주 성안길 가로경관의 재현 (The Representation of Seong-An Streetscape in the 1960s' Cheongju)

  • 김태영;김세진
    • 한국농촌건축학회논문집
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    • 제16권1호
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    • pp.63-70
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    • 2014
  • This study is aimed to represent the streetscape in 1960s' focused on Seong-An street of Cheong-ju through the existing business types and buildings, literature, photo details, and interview of the longest-term householders. Results of this study are as follows : Firstly, the types of 1st-floor shops were diverse with general merchandise, apparel, medical, bank, restaurant, and etc in 1960s'. The present shops of them are 'Dong-kwang lasa', 'Jung-geum dang', 'Cheong-ju pharmacy' including the existing 'the Korea development', 'Korea first', and 'Woori' bank. Secondly, the streetscape around post office looks just as it did in the old 1960s'. In the other section the present typical buildings are 'Namseon pharmacy ', 'Kukje department', 'Samyang shop', 'Daeyang shop', 'Park shop', and etc. These old 3-4story buildings are reinforced concrete in contrasted with the former wooden and masonry in structure, and converted in use and appearance. Thirdly, the streetscape of Seong-An is ultimately represented by presuming the other buildings and equipments through aerial and street photograph in the old 1960s'.

자동 계측 기법을 이용한 서울 주요 가로의 녹시율 분석 (The Study on Index of Greeness in Streets of Seoul by Using Automatic Measurement Techniques)

  • 남창진;방재성;장대희
    • KIEAE Journal
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    • 제12권2호
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    • pp.93-101
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    • 2012
  • In this study, we measured the Index of Greeness(I.O.G) and analyzed factors that affect in downtown street of Seoul. The aim of this article is to provide an ways of improving I.O.G, with an emphasis on accuracy of measurement. We utilized the autimatic measurment techniques proposed by Tonosaki to solve the problem of accuracy in measurement. The result is as follows : Firstly, the average I.O.G of Gwanghwamun Plaza is 15.76%, Jongno is 11.48% and Dasanro(from Yaksu station to Beotigogae station) is 6.36%. According to the comprehensive analysis in three reseach areas, it shows that I.O.G is intimately linked with planting method, species of trees and the presence of wall planting. Secondly, it was analyzed that grass and ground-cover planting promote I.O.G better than other method. The I.O.G of photo which contains grass is 45.47%. According to the comparative analysis between tree planting and multi-planting method, the presence of lower planting showed a difference about 8.77% of I.O.G.. From the persipective of I.O.G, tree planting with two lines is more effective than one. The difference of two ways is about 3.24%. Thirdly, it is an efficint way to use the wall planting or vertical planting in order to promote I.O.G.. In Dasanro, The I.O.G of photo which contains wall planting or vertical planting is 45.47% in contrast to the average of I.O.G. is 6.36%. Fourthly, the difference of I.O.G between broadleaf tree and needleleaf tree was larger than we thought. If look closely confined to this study, the I.O.G of street planted by Pine is 3.61% and Eastern Sycamore Family Bottonwood is 12.55%.

인터넷 항공영상의 왜곡보정과 실감적 3차원 건물 모델링 (Correction of Geometric Distortion of Internet Aerial Imagery and Photo-Realistic 3D Building Modeling)

  • 이동천
    • 한국측량학회지
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    • 제29권6호
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    • pp.687-695
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    • 2011
  • 국내외의 많은 인터넷 포털 사이트는 지도 및 공간정보 서비스를 제공하고 있으며, 최근에는 지도뿐만 아니라 항공 및 위성영상, 거리영상, 실감적 3차원 도시공간모델 등 다양한 영상정보를 함께 제공하고 있다. 본 연구에서는 인터넷 지도 서비스에서 제공하는 파노라마 항공영상에 발생하는 왜곡을 보정하고, 입체영상으로부터 수치도화를 수행하여 3차원 건물 모델링을 용이하게 수행하는 방법을 제안하였다. 본 논문은 누구나 쉽게 접할 수 있는 인터넷 지도로부터 기준점 좌표를 획득하고, 이를 이용하여 인터넷에서 제공하는 항공영상과 지상사진을 이용하여 실사 객체 모델링을 가능하게 하였다는데 의의를 두고 있다. 도화에 필요한 기준점과 같은 데이터들이 인터넷에서 획득한 자료라는 점을 감안하면 높은 정확도를 요구하는 경우에 적용하기에는 한계가 있다. 수치도화 RMSE는 약 9m 이며, 좌표변환식을 이용하여 4m 정도로 향상시킬 수 있었다. 그러므로 높은 정밀도가 요구되지 않는 분야에서는 영상과 필요한 데이터 획득에 제약을 받지 않고 지형지물들을 용이하게 실감적으로 모델링할 수 있는 장점이 있다.

테헤란 스트리트에 나타난 패션 아이템 히잡 연구 (A Study on the Hijab as a Fashion Item in the Tehran Street)

  • 김현서;김현주;나현신
    • 패션비즈니스
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    • 제24권2호
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    • pp.1-16
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    • 2020
  • Hijab as a symbol of women's oppression due to the opening and reform of Islamic State group, is becoming more diverse as younger generation begins to dress more freely than ever before, spreading the perception that it is a fashion item. In response, this research conducted a theoretical review about the history of hijab, various forms of hijab, and characteristics of hijab using relevant literature, media reports, and fashion media articles. As an empirical study, image-oriented photo data shared by Tehran Street Fashion from 2015 to November 2019 were analyzed separately by fashion majors into color, pattern, and hijab-making forms. According to the analysis, six different fashion images were categorized as romantic feminine, modern chic, natural elegant, classic formal, sporty casual and gorgeous ethnic. For Muslim women in the past, hijab was worn as a repressive and closed sense by the religious system. However, in modern times, it is a way to express one's style and ideas as a fashion item. It is also and a means to express one's thoughts and beliefs. Through aesthetic consideration of Hijab as a fashion item, it was found that it was a medium for freedom of expression and a medium for beauty and individuality.