• Title/Summary/Keyword: Multi-Image

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A Research of User Experience on Multi-Modal Interactive Digital Art

  • Qianqian Jiang;Jeanhun Chung
    • International Journal of Internet, Broadcasting and Communication
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    • v.16 no.1
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    • pp.80-85
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    • 2024
  • The concept of single-modal digital art originated in the 20th century and has evolved through three key stages. Over time, digital art has transformed into multi-modal interaction, representing a new era in art forms. Based on multi-modal theory, this paper aims to explore the characteristics of interactive digital art in innovative art forms and its impact on user experience. Through an analysis of practical application of multi-modal interactive digital art, this study summarises the impact of creative models of digital art on the physical and mental aspects of user experience. In creating audio-visual-based art, multi-modal digital art should seamlessly incorporate sensory elements and leverage computer image processing technology. Focusing on user perception, emotional expression, and cultural communication, it strives to establish an immersive environment with user experience at its core. Future research, particularly with emerging technologies like Artificial Intelligence(AR) and Virtual Reality(VR), should not merely prioritize technology but aim for meaningful interaction. Through multi-modal interaction, digital art is poised to continually innovate, offering new possibilities and expanding the realm of interactive digital art.

The Effects of the Perceived Quality on Brand Image and Customer Loyalty -Focusing on Multi-Function Printer- (지각된 품질이 브랜드이미지와 고객충성도에 미치는 영향 -복합기제품을 중심으로-)

  • Song, Keo-Young;You, Yen-Yoo
    • Journal of Digital Convergence
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    • v.11 no.3
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    • pp.263-272
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    • 2013
  • This study was conducted to look into consulting areas that can secure loyalty customers by clarifying relations between perceived quality factors, brand image and customer loyalty in terms of a multi-function printer. To accomplish the study purpose, this study carried out a validation analysis, a reliability analysis and a structural equation model analysis by setting up a study model and a hypothesis based on precedent studies and collecting data from purchase decision-makers. The findings of the study are summarized as follows. First, effects of perceived quality components of a multi-function printer on brand image were product quality, sales man's service and service quality in order of majority. Second, brand image of a multi-function printer has a positive impact on customer loyalty. This study is meaningful as it expanded the scope of study related to a multi-function printer up to the administrative field. This study is expected to help industries, who have similar business structure of a multi-function printer, establish a business strategy and support practical work and administrative consulting.

Deep Image Annotation and Classification by Fusing Multi-Modal Semantic Topics

  • Chen, YongHeng;Zhang, Fuquan;Zuo, WanLi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.1
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    • pp.392-412
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    • 2018
  • Due to the semantic gap problem across different modalities, automatically retrieval from multimedia information still faces a main challenge. It is desirable to provide an effective joint model to bridge the gap and organize the relationships between them. In this work, we develop a deep image annotation and classification by fusing multi-modal semantic topics (DAC_mmst) model, which has the capacity for finding visual and non-visual topics by jointly modeling the image and loosely related text for deep image annotation while simultaneously learning and predicting the class label. More specifically, DAC_mmst depends on a non-parametric Bayesian model for estimating the best number of visual topics that can perfectly explain the image. To evaluate the effectiveness of our proposed algorithm, we collect a real-world dataset to conduct various experiments. The experimental results show our proposed DAC_mmst performs favorably in perplexity, image annotation and classification accuracy, comparing to several state-of-the-art methods.

Multi License Plate Recognition System using High Resolution 360° Omnidirectional IP Camera (고해상도 360° 전방위 IP 카메라를 이용한 다중 번호판 인식 시스템)

  • Ra, Seung-Tak;Lee, Sun-Gu;Lee, Seung-Ho
    • Journal of IKEEE
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    • v.21 no.4
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    • pp.412-415
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    • 2017
  • In this paper, we propose a multi license plate recognition system using high resolution $360^{\circ}$ omnidirectional IP camera. The proposed system consists of a planar division part of $360^{\circ}$ circular image and a multi license plate recognition part. The planar division part of the $360^{\circ}$ circular image are divided into a planar image with enhanced image quality through processes such as circular image acquisition, circular image segmentation, conversion to plane image, pixel correction using color interpolation, color correction and edge correction in a high resolution $360^{\circ}$ omnidirectional IP Camera. Multi license plate recognition part is through the multi-plate extraction candidate region, a multi-plate candidate area normalized and restore, multiple license plate number, character recognition using a neural network in the process of recognizing a multi-planar imaging plates. In order to evaluate the multi license plate recognition system using the proposed high resolution $360^{\circ}$ omnidirectional IP camera, we experimented with a specialist in the operation of intelligent parking control system, and 97.8% of high plate recognition rate was confirmed.

An X-ray Image Panorama System Using Robust Feature Matching and Per ception-Based Image Enhancement

  • Wang, Weiwei;Gwun, Oubong
    • Journal of Korea Multimedia Society
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    • v.15 no.5
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    • pp.569-576
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    • 2012
  • This paper presents an x-ray medical image panorama system which can overcome the smallness of the images that exist on a source computer during remote medical processing. In the system, after the standard medical image format DICOM is converted to the PC standard image format, a MSR algorithm is used to enhance X-ray images of low quality. Then SURF and Multi-band blending are applied to generate a panoramic image. Also, this paper evaluates the proposed SURF based system through the average gray value error and image quality criterion with X-ray image data by comparing with a SIFT based system. The results show that the proposed system is superior to SIFT based system in image quality.

Development of 32-Channel Image Acquisition System for Thickness Measurement of Retina (망막 두께 측정을 위한 32채널 영상획득장치 개발)

  • 양근호;유병국
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2003.06a
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    • pp.110-113
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    • 2003
  • In this paper, the multi-channel high speed data acquisition system is implemented. This high speed signal processing system for 3-D image display is applicable to the manipulation of a medical image processing, multimedia data and various fields of digital image processing. In order to convert the analog signal into digital one, A/D conversion circuit is designed. PCI interface method is designed and implemented, which is capable of transmission a large amount of data to computer. In order to, especially, channel extendibility of images acquisition, bus communication method is selected. By using this bus method, we can interface each module effectively. In this paper, 32-channel A/D conversion and PCI interface system for 3-dimensional and real-time display of the retina image is developed. The 32-channel image acquisition system and high speed data transmission system developed in this paper is applicable to not only medical image processing as 3-D representation of retina image but also various fields of industrial image processing in which the multi-point realtime image acquisition system is needed.

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Color Image Segmentation using Hierarchical Histogram (계층적 히스토그램을 이용한 컬러영상분할)

  • 김소정;정경훈
    • Proceedings of the IEEK Conference
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    • 2003.07e
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    • pp.1771-1774
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    • 2003
  • Image segmentation is very important technique as preprocessing. It is used for various applications such as object recognition, computer vision, object based image compression. In this paper, a method which segments the multidimensional image using a hierarchical histogram approach, is proposed. The hierarchical histogram approach is a method that decomposes the multi-dimensional situation into multi levels of 1 dimensional situations. It has the advantage of the rapid and easy calculation of the histogram, and at the same time because the histogram is applied at each level and not as a whole, it is possible to have more detailed partitioning of the situation.

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Multi-SMQT based Contrast Enhancement for Brightness Preservation (밝기를 보존하는 Multi-SMQT 기반의 콘트라스트 개선)

  • Park, Kang-Seo;Park, Rae-Hong
    • Proceedings of the IEEK Conference
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    • 2007.07a
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    • pp.373-374
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    • 2007
  • This paper proposes a natural contrast enhancement algorithm that preserves the brightness of an image. In the case that an image has the partially dense distribution of intensity, conventional contrast enhancement algorithms degrade the image quality because they excessively change the intensity values. In contrast to convention algorithms, the proposed method is able to obtain a natural image with the high contrast using the concept of brightness preservation. The experimental results show the effectiveness of our algorithm.

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Performance Evaluation of Medical Image Transmission System using TH UWB-IR Technology

  • Lee, Yang-Sun;Kang, Heau-Jo
    • Journal of information and communication convergence engineering
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    • v.4 no.3
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    • pp.97-100
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    • 2006
  • In this paper, the transmission service for medical image is proposed via IEEE 802.15.4a on WPAN environment. Also, transmission and receiving performance of medical image using TH UWB-IR system is evaluated on indoor multi-path fading environment. On the results, the proposed scheme can solve the problem of interference from the medical equipment in same frequency band, and minimize the loss due to the indoor multi-path fading environment. Therefore, the transmission with low power usage is possible.

Image Fusion Framework for Enhancing Spatial Resolution of Satellite Image using Structure-Texture Decomposition (구조-텍스처 분할을 이용한 위성영상 융합 프레임워크)

  • Yoo, Daehoon
    • Journal of the Korea Computer Graphics Society
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    • v.25 no.3
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    • pp.21-29
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    • 2019
  • This paper proposes a novel framework for image fusion of satellite imagery to enhance spatial resolution of the image via structure-texture decomposition. The resolution of the satellite imagery depends on the sensors, for example, panchromatic images have high spatial resolution but only a single gray band whereas multi-spectral images have low spatial resolution but multiple bands. To enhance the spatial resolution of low-resolution images, such as multi-spectral or infrared images, the proposed framework combines the structures from the low-resolution image and the textures from the high-resolution image. To improve the spatial quality of structural edges, the structure image from the low-resolution image is guided filtered with the structure image from the high-resolution image as the guidance image. The combination step is performed by pixel-wise addition of the filtered structure image and the texture image. Quantitative and qualitative evaluation demonstrate the proposed method preserves spectral and spatial fidelity of input images.