• Title/Summary/Keyword: Location Image

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The effects of store attributes on brand equity of and brand attitude toward Korean SPA brands (한국형 SPA브랜드의 점포속성, 브랜드 자산 및 브랜드 태도와의 영향관계)

  • Wu, Hui Qing;Kim, Mi Sook
    • The Research Journal of the Costume Culture
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    • v.22 no.4
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    • pp.640-653
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    • 2014
  • The purpose of this study was to investigate the effect of store attributes on brand equity of and brand attitude toward Korean SPA brands. Data were collected from women living in Seoul in ages from 18 to 39 with purchasing experience at Korean SPA brands. A total of 554 questionnaires were used in the statistical analysis including factor analysis and structure equation analysis. The results were as follows: For store attributes, 8 factors were extracted: product assortment, fashionability, price, quality, store environment, service, convenience in location and advertisement. Two factors, brand awareness, brand image were extracted for brand equity, and brand attitude was derived as a single dimension. Product-related store attributes such as product assortment, price, quality have positive effects on brand awareness, brand image and brand attitude. Other attribute such as store environment has positive effect on brand awareness and brand image, Attribute such as advertisement has positive effect on brand awareness and service, convenience in location have positive effect on brand attitude. Moreover, brand image and brand awareness have positive effect on brand attitude. These results indicate the product-related attributes are important factors to consider for improving brand equity and brand attitude for Korean SPA brands.

Reversible Watermarking Based On Advanced Histogram Shifting (개선된 히스토그램 쉬프팅 기법을 이용한 리버서블 워터마킹)

  • Hwang, Jin-Ha;Kim, Jong-Weon;Choi, Jong-Uk
    • The KIPS Transactions:PartC
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    • v.14C no.1 s.111
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    • pp.39-44
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    • 2007
  • In this paper, we propose a reversible watermarking method to recover an original image after the watermark has been extracted. Most watermarking algorithms cause degradation of image quality in original digital content in the process of embedding watermark. In the proposed algorithm, the original image can be obtained when the degradation is removed from the watermarked image after extracting watermark information. In the proposed method, we utilize histogram shifting concept and Location Map structure. We could solve the Filp-Flop problem by using Location Map structure and enlarge the information embedding capacity by embedding recursively. Experimental results demonstrate that the embedding information as large as 120k bits can be realized while the invisibility as high as 41dB can be maintained.

A Knowledge-Based System for Address Block Location on Korean Envelope Images (우리나라 우편 봉투 영상에서의 주소 영역 추추을 위한 지식 기반 시스템)

  • 김기철;이성환
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.8
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    • pp.137-147
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    • 1994
  • In this paper,we propose a knowledge-based system for locating Destination Address Block(DAB) by analyzing the structure of Korean envelope images. In the proposed system the preprocessing steps such as adaptive binarization connected component extraction and deskewing are carried out first for the effective structure analysis of the envelope image. Then DAB containing address name and zipcode parts of the input envelope image is extracted by an iterative procedure based on the knowledge acquired from the statistical feature analysis of the various envelope images. Most of the system for slocating address blocks on envelopes have extracted DAB by segmenting an envelope image into several candidate blocks followed by selecting one among the candidate blocks. Because it is very difficult to segment a Korean envelope image into several blocks due to the specific writing habits that the addresses on the envelope are written in close proximity to each other the proposed iterative procedure determines DAB by splitting or merging the connected components and verifies the determined DAB without segmentation and selection. Experiments with a great number of the live envelopes provided from Seoul Mail Center in Koorea were carried out. The results reveal that the proposed system is very effective for address block location on Korean envelopes.

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Estimation of Moving Direction of Objects for Vehicle Tracking in Underground Parking Lot (지하 주차장 차량 추적을 위한 객체의 이동 방향 추정)

  • Nguyen, Huu Thang;Kim, Jaemin
    • Journal of Korea Multimedia Society
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    • v.24 no.2
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    • pp.305-311
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    • 2021
  • One of the highly reliable object tracking methods is to trace objects by associating objects detected by deep learning. The detected object is represented by a rectangular box. The box has information such as location and size. Since the tracker has motion information of the object in addition to the location and size, knowing additional information about the motion of the detected box can increase the reliability of object tracking. In this paper, we present a new method of reliably estimating the moving direction of the detected object in underground parking lot. First, the frame difference image is binarized for detecting motion energy, change due to the object motion. Then, a cumulative binary image is generated that shows how the motion energy changes over time. Next, the moving direction of the detected box is estimated from the accumulated image. We use a new cost function to accurately estimate the direction of movement of the detected box. The proposed method proves its performance through comparative experiments of the existing methods.

Deep Image Retrieval using Attention and Semantic Segmentation Map (관심 영역 추출과 영상 분할 지도를 이용한 딥러닝 기반의 이미지 검색 기술)

  • Minjung Yoo;Eunhye Jo;Byoungjun Kim;Sunok Kim
    • Journal of Broadcast Engineering
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    • v.28 no.2
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    • pp.230-237
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    • 2023
  • Self-driving is a key technology of the fourth industry and can be applied to various places such as cars, drones, cars, and robots. Among them, localiztion is one of the key technologies for implementing autonomous driving as a technology that identifies the location of objects or users using GPS, sensors, and maps. Locilization can be made using GPS or LIDAR, but it is very expensive and heavy equipment must be mounted, and precise location estimation is difficult for places with radio interference such as underground or tunnels. In this paper, to compensate for this, we proposes an image retrieval using attention module and image segmentation maps using color images acquired with low-cost vision cameras as an input.

Multiresolution Histogram Specification Method in The Spatial Domain for Image Enhancement (영상 개선을 위한 공간 영역에서의 다해상도 히스토그램 지정 기법)

  • Park, Se-Hyuk;Huh, Kyung-Moo
    • Proceedings of the IEEK Conference
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    • 2009.05a
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    • pp.169-171
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    • 2009
  • The histogram specification is to change the histogram shape of the image into the already defined shape. This technique can be applied usefully in various image processing fields which include a machine vision. However, the histogram specification technique has its basic limits. For example, the histogram does not have location information of pixel within the image and receives the digital image, which is stored through a quantization process, as an input. Namely, the accuracy of specification falls in the high-resolution image because the larger the resolution of image is becoming, the more the pixels having similar value are becoming. Therefore, we proposed the multiresolution histogram specification method for improving the accuracy of specification. Consequently, we can know that if the histogram specification is accomplished by using the proposed algorithm, destination image and source image were changed almost similarly.

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A technique for Auto find the way of 3-D spatial aviation images contents environment (3차원 공간 동영상 콘텐츠 환경에서의 자동 길 찾기 기법연구)

  • Yeon, Sang-Ho
    • Proceedings of the Korea Contents Association Conference
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    • 2006.11a
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    • pp.417-420
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    • 2006
  • Recently we could generation of 3-D simulation image by use of various image contents, so I tried advanced methods very easily leads to the location on the GIS environments. Its used basically air photos and satellite sensor images for them. For the generate 3-D spatial be suitable to matching map coordinates using elevation data from digital topographic files, and matching to 3D spatial image contents through perspectives view condition composed to move according to fixed roads until arrive to location. Through this new system which tourists are able to simulate the interest paths or locations and to visit the cultural inheritance was proposed by combining various spatial data with the multimedia contents. This system provides people with guidance to locate the cultural assets in the Web environments. The developed system which is more convenient to provide tourists with the information and they are able to access automatically to location easily. In the future, the visitors are able to use easily the 3d image contents on the Internet or from the public tour information desk by using the simulation images.

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A Study on the Image-Based Luminance Measurement System Using the Measuring Position (측정 위치를 고려한 영상기반 휘도측정시스템에 관한 연구)

  • Sun, Eun-Hey;Kim, Yong-Tae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.24 no.4
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    • pp.424-429
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    • 2014
  • In this paper, an image-based luminance measurement system(LMS) is proposed to measure the luminance of outdoor signboards. We design the LMS that can improve disadvantages of efficiency of the point-luminance meter and portability of face-luminance meter using the image of DSLR camera and print out the luminance value by using the proposed luminance analysis algorithm in real time. Outdoor signboards have various size and shape, and are also installed on the various place. Luminance of the signboard is influenced by measurement location, angle, color, etc. Therefore, we measure the change of luminance value in accordance with measurement location for accurate luminance measurement and then consider the luminance value according to the measurement distance. We obtain a numerical relation between luminance value and measurement location. The proposed LMS is verified through comparative experiment with point-luminance meter.

Books Location Estimation System by Image Processing (영상처리를 이용한 도서 위치 추정 시스템)

  • Cho Dong-Uk
    • The KIPS Transactions:PartB
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    • v.12B no.1 s.97
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    • pp.17-24
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    • 2005
  • In this paper, we will show that a control search methodology is a alternative method of a sequential search which is difficult in finding books for arrangement at library or a bookstore when books are out of place. To solve the problem of the sequential search, we apply a edge operator and the Hough Transform to boundary of a taken photograph image book. We generate histogram by a projected image from boundary range of selected books and select title areas from this and possible areas which are a character number of title, authors, a publishing company and an array sequence. Finally, we can select the final possible area of a book location by a curve fitting and a regression line extraction, and show utility through experiment.

Stereo Object Tracking System using Multiview Image Reconstruction Scheme (다시점 영상복원 기법을 이용한 스테레오 물체추적 시스템)

  • Ko, Jung-Hwan;Ohm, Woo-Young
    • 전자공학회논문지 IE
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    • v.43 no.2
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    • pp.54-62
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    • 2006
  • In this paper, a new stereo object tracking system using the disparity motion vector is proposed. In the proposed method, the time-sequential disparity motion vector can be estimated from the disparity vectors which are extracted from the sequence of the stereo input image pair and then using these disparity motion vectors, the area where the target object is located and its location coordinate are detected from the input stereo image. Basing on this location data of the target object, the pan/tilt embedded in the stereo camera system can be controlled and as a result, stereo tracking of the target object can be possible. From some experiments with the 2 frames of the stereo image pairs having $256\times256$ pixels, it is shown that the proposed stereo tracking system can adaptively track the target object with a low error ratio of about 3.05 % on average between the detected and actual location coordinates of the target object.