• Title/Summary/Keyword: resizing

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Elemental image resizing and the analysis of the reconstructed three dimensional image in the integral imaging system (집적결상법에서 기본영상의 크기 변환에 따른 3차원 재생영상의 특성 분석)

  • Ser, Jang-Il;Shin, Seung-Ho
    • Korean Journal of Optics and Photonics
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    • v.16 no.3
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    • pp.225-234
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    • 2005
  • In the integral imaging system for 3D display, the elemental image size is closely related to the several variables, such as the size of elemental lens, the distance between elemental lens and elemental image, etc., on the pick up system. We have analyzed the geometric relation between the variables. In addition, we have investigated the integrated image variation for the individual and whole conversion of the size of the elemental images, different from in pick up process, and presented experimental results.

Detecting Doors Edges in Diverse Environments for Visually Disabled People

  • Habib, Mohamed Ibrahim
    • International Journal of Computer Science & Network Security
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    • v.21 no.5
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    • pp.9-15
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    • 2021
  • It is a challenge for visually impaired people to access unfamiliar environments independently, hence the quality of life is reduced, and safety of life is compromised. An accurate and reliable door detection system comprising of way finding and indoor navigation can be beneficial for a large number of autonomous and mobile applications for visually impaired people. This paper illustrates an image-based door detection scheme for visually impaired people using stable features (edges and corners) including color averaging and image resizing. Simulation results show that the proposed scheme shows a significant improvement when compared with existing scheme.

Neural Feature Compression with Block-based Feature Resizing (블록 기반 특징맵 크기 조정을 이용한 DNN 특징맵 압축)

  • Yoon, Curie;Jeong, Hye Won;Kim, Yeongwoong;Kim, Younhee;Jeong, Se-Yoon;Kim, Hui Yong
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2022.06a
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    • pp.1203-1206
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    • 2022
  • 자율주행, IoT 등 많은 양의 영상 정보를 실시간으로 처리해야 하는 기술과 mobile device 등의 기기에서 Machine Learning 연산을 하는 소프트웨어들이 등장함에 따라 사람을 위한 영상을 출력하는 영상 부호화 기술 대신 기계의 vision task 성능을 위해 특화된 영상 부호화 기술의 필요성이 대두됐다. 본 연구에서는 영상에서 추출한 특징맵을 Neural-Net based Video Coding 모델을 이용해 압축률과 기계의 vision task 성능을 동시에 최적화한다. 또한, 하드웨어 친화적인 block-based 처리와 이로 인한 성능 저하를 최소화하기 위해 적응적 resizing 방식을 제안한다.

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Analysis of compression and machine task performance according to feature map resizing and interpolation (피처 맵 리사이징과 보간법에 따른 압축 및 머신태스크 성능 분석)

  • Rhee, Seong-bae;Lee, Min-Seok;Kim, Kyu-Heon
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2022.06a
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    • pp.832-835
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    • 2022
  • 최근 딥러닝 네트워크의 피처 맵을 활용하여 머신 태스크를 수행하는 Collaborative Intelligence에 대한 관심이 증가하고 있다. CI 구조는 피처 맵을 전송함에 따라서 저사양 디바이스에서 딥러닝 기반의 머신 태스크 수행을 가능하게 하여 다양한 산업에서 활용될 것으로 기대되고 있다. 그러나 CI 구조에서 전송되는 피처 맵은 데이터 크기가 방대하기 때문에 전송에 있어 효율적인 피처 맵 압축이 필요하다. 이에 본 논문에서는 MPEG-VCM에서 제안된 리사이징 (resizing)과 보간법 (interpolation)을 활용하여 피처 맵을 압축하는 Feature Coding 기술에 대하여, 다양한 리사이징 및 보간 방법을 조합하여 가장 우수한 압축 성능 대비 머신 태스크 성능을 나타내는 조합을 실험을 통해서 확인하고자 한다.

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Development of Drift Design Method for High-rise Buildings Considering Characteristics of Member Forces (부재력 특성을 고려한 설계변수를 사용한 고층건물 변위조절설계법 개발)

  • 서지현;박효선
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.17 no.2
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    • pp.215-222
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    • 2004
  • Drift design methods using resizing techniques have been presented as a practical drift control methods of high-rise buildings. Most drift design methods using the resizing techniques have adopted the cross-sectional area as the design variables for all structural members in a structure. However, the cross-sectional area is not always governing sectional property for the structural members, but the governing sectional property of each member is dependent on the characteristics of member forces. In this paper, a drift design method using the sectional property related to the governing displacement participation factor as the design variable of each member is presented and applied to the drift design of 20-story steel frame-shear wall system. It can be noted from example test that drift design method considering member characteristics shows similar or somewhat better results in the view point of structural weights and the accuracy of displacement estimation.

Modification-robust contents based motion picture searching method (변형에 강인한 내용기반 동영상 검색방법)

  • Choi, Gab-Keun;Kim, Soon-Hyob
    • 한국HCI학회:학술대회논문집
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    • 2008.02a
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    • pp.215-217
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    • 2008
  • The most widely used method for searching contents of mot ion picture compares contents by extracted cuts. The cut extract ion methods, such as CHD(Color Histogram Difference) or ECR(Edge Change Ratio), are very weak at modifications such as cropping, resizing and low bit rate. The suggested method uses audio contents for indexing and searching to make search be robust against these modification. Scenes of audio contents are extracted for modification-robust search. And based on these scenes, make spectral powers binary on each frequency bin. in the time-frequency domain. The suggested method shows failure rate less than 1% on the false positive error and the true negative error to the modified(using cropping, clipping, row bit rate, addtive frame) contents.

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Adaptive Watermarking Using Wavelet Transform & Spread Spectrum Method (확산스펙트럼 방식과 웨이브렛 변환을 이용한 적응적인 워터마킹)

  • 김현환;김두영
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.4 no.2
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    • pp.389-395
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    • 2000
  • Digital Watermarking is a research area which aims at hiding secret information in digital multimedia content such as images, audio, and video. In this paper, we propose a new watermarking method with visually recognizable symbols into the digital images using wavelet transform, spread spectrum method and multilevel threshold value in considering the wavelet coefficients. The information of watermark can be extracted by subtracting wavelet coefficients with the original image and the watermarked image. The results of this experiment show that the proposed algorithm was superior to other similar watermarking algorithms. We showed Watermarking algorithm in JPEG lossy compression, resizing, LSB(Least Significant Bit) masking, and filtering.

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SFMOG : Super Fast MOG Based Background Subtraction Algorithm (SFMOG : 초고속 MOG 기반 배경 제거 알고리즘)

  • Song, Seok-bin;Kim, Jin-Heon
    • Journal of IKEEE
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    • v.23 no.4
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    • pp.1415-1422
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    • 2019
  • Background subtraction is the major task of computer vision and image processing to detect changes in video. The best performing background subtraction is computationally expensive that cannot be used in real time in a typical computing environment. The proposed algorithm improves the background subtraction algorithm of the widely used MOG with the image resizing algorithm. The proposed image resizing algorithm is designed to drastically reduce the amount of computation and to utilize local information, which is robust against noise such as camera movement. Experimental results of the proposed algorithm have a classification capability that is close to the state of the art background subtraction method and the processing speed is more than 10 times faster.

Image Interpolation Technique Using Lapped Transforms (Lapped Transform을 이용한 영상 보간 기법)

  • Joo, Seung-Yong;Lee, Chang-Woo
    • Journal of Broadcast Engineering
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    • v.17 no.6
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    • pp.1110-1113
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    • 2012
  • Various image interpolation methods have been proposed to increase the resolution of images and accuracy of motion estimation of video, and the interpolation filters are used in H.264/AVC and HEVC standards. In this paper, we propose an efficient image interpolation method using lapped transforms. The relation between the resizing and interpolation of images is used in the proposed method, and the complexity is significantly reduced, while the performance of the proposed method is almost the same as conventional methods.