• 제목/요약/키워드: Information Representation

검색결과 2,378건 처리시간 0.031초

Representation Techniques for 4-Dimensional MR Images

  • Homma, Kazuhiro;Takenaka, Kenji;Nakai, Yoshihiko;Hirose, Takeshi
    • 한국의학물리학회:학술대회논문집
    • /
    • 한국의학물리학회 2002년도 Proceedings
    • /
    • pp.429-431
    • /
    • 2002
  • Metabolic analysis of biological tissues, the interventional radiology in MRT (Magnetic Resonance Treatment) and for clinical diagnoses, representation of 4-Dimensional (4D) structural information (x,y,z,t) of biological tissues is required. This paper discusses image representation techniques for those 4D MR Images. We have proposed an image reconstruction method for ultra-fast 3D MRI. It is based on image interpolation and prediction of un-acquired pictorial data in both of the real and the k-space (the acquisition domain in MRI). A 4D MR image is reconstructed from only two 3D MR images and acquired a few echo signals that are optimized by prediction of the tissue motion. This prediction can be done by the phase of acquired echo signal is proportioned to the tissue motion. On the other hand, reconstructed 4D MR images are represented as a 3D-movie by using computer graphics techniques. Rendered tissue surfaces and/or ROIs are displayed on a CRT monitor. It is represented in an arbitrary plane and/or rendered surface with their motion. As examples of the proposed representation techniques, the finger and the lung motion of healthy volunteers are demonstrated.

  • PDF

Facial Gender Recognition via Low-rank and Collaborative Representation in An Unconstrained Environment

  • Sun, Ning;Guo, Hang;Liu, Jixin;Han, Guang
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • 제11권9호
    • /
    • pp.4510-4526
    • /
    • 2017
  • Most available methods of facial gender recognition work well under a constrained situation, but the performances of these methods have decreased significantly when they are implemented under unconstrained environments. In this paper, a method via low-rank and collaborative representation is proposed for facial gender recognition in the wild. Firstly, the low-rank decomposition is applied to the face image to minimize the negative effect caused by various corruptions and dynamical illuminations in an unconstrained environment. And, we employ the collaborative representation to be as the classifier, which using the much weaker $l_2-norm$ sparsity constraint to achieve similar classification results but with significantly lower complexity. The proposed method combines the low-rank and collaborative representation to an organic whole to solve the task of facial gender recognition under unconstrained environments. Extensive experiments on three benchmarks including AR, CAS-PERL and YouTube are conducted to show the effectiveness of the proposed method. Compared with several state-of-the-art algorithms, our method has overwhelming superiority in the aspects of accuracy and robustness.

Video Quality Representation Classification of Encrypted HTTP Adaptive Video Streaming

  • Dubin, Ran;Hadar, Ofer;Dvir, Amit;Pele, Ofir
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • 제12권8호
    • /
    • pp.3804-3819
    • /
    • 2018
  • The increasing popularity of HTTP adaptive video streaming services has dramatically increased bandwidth requirements on operator networks, which attempt to shape their traffic through Deep Packet inspection (DPI). However, Google and certain content providers have started to encrypt their video services. As a result, operators often encounter difficulties in shaping their encrypted video traffic via DPI. This highlights the need for new traffic classification methods for encrypted HTTP adaptive video streaming to enable smart traffic shaping. These new methods will have to effectively estimate the quality representation layer and playout buffer. We present a new machine learning method and show for the first time that video quality representation classification for (YouTube) encrypted HTTP adaptive streaming is possible. The crawler codes and the datasets are provided in [43,44,51]. An extensive empirical evaluation shows that our method is able to independently classify every video segment into one of the quality representation layers with 97% accuracy if the browser is Safari with a Flash Player and 77% accuracy if the browser is Chrome, Explorer, Firefox or Safari with an HTML5 player.

An Object-Level Feature Representation Model for the Multi-target Retrieval of Remote Sensing Images

  • Zeng, Zhi;Du, Zhenhong;Liu, Renyi
    • Journal of Computing Science and Engineering
    • /
    • 제8권2호
    • /
    • pp.65-77
    • /
    • 2014
  • To address the problem of multi-target retrieval (MTR) of remote sensing images, this study proposes a new object-level feature representation model. The model provides an enhanced application image representation that improves the efficiency of MTR. Generating the model in our scheme includes processes, such as object-oriented image segmentation, feature parameter calculation, and symbolic image database construction. The proposed model uses the spatial representation method of the extended nine-direction lower-triangular (9DLT) matrix to combine spatial relationships among objects, and organizes the image features according to MPEG-7 standards. A similarity metric method is proposed that improves the precision of similarity retrieval. Our method provides a trade-off strategy that supports flexible matching on the target features, or the spatial relationship between the query target and the image database. We implement this retrieval framework on a dataset of remote sensing images. Experimental results show that the proposed model achieves competitive and high-retrieval precision.

1990년대 이후 국내 남성복의 여성화경향 (The Representation of Feminization in Men's Fashion in Korea Since the 1990's)

  • 박옥련;이현지
    • 한국의류학회지
    • /
    • 제28권2호
    • /
    • pp.364-375
    • /
    • 2004
  • The purpose of this study is to analyze how the men's fashion with the representation of Feminization which has appeared on our specialized fashion magazine from 1990 though 2003. Firstly, the factor which exposed the representation of Feminization in men's fashion were the change of conventional sex role, the change of ideal beauty, the variety of information, the pursuit of personality and the polycentrism of thought. Secondly, the formative characteristics of Feminization in men's fashion represented fitted silhouettes which distinctively show the body line, elastic fabric and see-through fabric of androgynous image, accessory and wave hair which expressed in gentle image. In colors, it represented vivid tone, pastel tone, red colors and yellow colors. Fitted silhouttes and elastic fabric has a effect of minimalism of the last 1990's fashion, and wave hair of gentle image has a effect of change of ideal beauty since 2000. Therefore, elements of representation of Feminization in men's fashion were silhoutte, fabric, color, accessory, hairstyle and the representation of feminity in men's fashion has referance to fashion.

Dual graph-regularized Constrained Nonnegative Matrix Factorization for Image Clustering

  • Sun, Jing;Cai, Xibiao;Sun, Fuming;Hong, Richang
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • 제11권5호
    • /
    • pp.2607-2627
    • /
    • 2017
  • Nonnegative matrix factorization (NMF) has received considerable attention due to its effectiveness of reducing high dimensional data and importance of producing a parts-based image representation. Most of existing NMF variants attempt to address the assertion that the observed data distribute on a nonlinear low-dimensional manifold. However, recent research results showed that not only the observed data but also the features lie on the low-dimensional manifolds. In addition, a few hard priori label information is available and thus helps to uncover the intrinsic geometrical and discriminative structures of the data space. Motivated by the two aspects above mentioned, we propose a novel algorithm to enhance the effectiveness of image representation, called Dual graph-regularized Constrained Nonnegative Matrix Factorization (DCNMF). The underlying philosophy of the proposed method is that it not only considers the geometric structures of the data manifold and the feature manifold simultaneously, but also mines valuable information from a few known labeled examples. These schemes will improve the performance of image representation and thus enhance the effectiveness of image classification. Extensive experiments on common benchmarks demonstrated that DCNMF has its superiority in image classification compared with state-of-the-art methods.

기상 및 대기질 정보의 3차원 표출 최적화를 위한 시제품 개발 연구 (Prototype Development for Optimization Technique of 3D Visualization of Atmospheric Environmental Information)

  • 김건우;나하나;정우식
    • 한국환경과학회지
    • /
    • 제28권11호
    • /
    • pp.1047-1059
    • /
    • 2019
  • To address the increase of weather hazards and the emergence of new types of such hazards, an optimization technique for three-dimensional (3D) representation of meteorological facts and atmospheric information was examined in this study as a novel method for weather analysis. The proposed system is termed as "meteorological and air quality information visualization engine" (MAIVE), and it can support several file formats and can implement high-resolution 3D terrain by employing a 30 m resolution digital elevation model. In this study, latest 3D representation techniques such as wind vector fields, contour maps, stream vector, stream line flow along the wind field and 3D volume rendering were applied. Implementation of the examples demonstrates that the results of numerical modeling are well reflected, and new representation techniques can facilitate the observation of meteorological factors and atmospheric information from different perspectives.

객체지향 프로그램 표현을 위한 객체지향 프로그램 종속성 그래프 (A Object-oriented Program Dependency Graph for Object-oriented Program Representation)

  • 류희열;박중양;박재흥
    • 한국정보처리학회논문지
    • /
    • 제5권10호
    • /
    • pp.2567-2574
    • /
    • 1998
  • 소프트웨어 공학 기법과 툴들은 제어 흐름 그래프, 프로그램 종속성 그래프, 시스템 종속성 그래프와 같은 프로그램의 그래픽한 표현에 의존한다. 본 논문은 기존의 객체지향 프로그램의 표현방법의 복잡하고 중복된 표현의 문제점을 개선하여 새로운 객체 지향 프로그램 종속성 그래프를 제안한다. 객체지향 프로그램 종속성 그래프는 클래스 종속성 그래프와 클래스 계층구조 그래프, 그리고 프로시듀어 종속성 그래프로 구성된다. 제안된 객체지향 프로그램 종속성 그래프는 기존의 방법에 비해 그 표현이 간결할 뿐만 아니라, 쉽게 확장이 가능하여 프로그램이 점진적으로 개발되는 경우에도 사용할 수 있다. 뿐만 아니라 프로그램에 대한 동적 정보를 제공할수 있도록 확장될 수 있다.

  • PDF

지연시간의 변화를 고려한 연속미디어 표현 메카니즘의 설계 및 분석 (Design and Analysis of Continuous Media Representation Mechanism to minimize the Variance of Latency Time)

  • 여인국;황대훈
    • 한국정보처리학회논문지
    • /
    • 제2권5호
    • /
    • pp.787-796
    • /
    • 1995
  • 본 논문에서는 광디스크, 디지탈 테이프 등과 같은 제3의 저장 장치의 활용을 높 이기 위하여 다중의 디스크와 CD-ROM으로 구성된 저장구조를 제안하고, 이 구조에서 CD-ROM에 저장된 연속미디어 객체들을 효율적으로 표현하는 메카니즘을 설계한다. 본 논문에서는 제안한 연속미디어 저장 구조는 대역폭이 높은 SCSI 버스를 다중의 디스크 가 공유하여 데이타를 전송함으로써 정보의 검색 능력을 향상시킨다. 그리고 연속미디 어 표현 메카니즘은 CD-ROM의 연속미디어 객체의 인출과 표현을 병렬로 수행시켜 연속 미디어 표현의 불연속을 감소시킬 뿐만 아니라 자주 참조되는 객체를 디스크에 존재케 함으로써 재참조 요청에 대한 실기율과 서비스 시간의 변화를 최소화한다.

  • PDF

A Line Spectrum Frequency Pairs Representation for Spectral Envelop Quantization

  • Park, Youngho;Lee, Won-Cheol;Bae, Myung-Jin
    • 대한전자공학회:학술대회논문집
    • /
    • 대한전자공학회 2000년도 제13회 신호처리 합동 학술대회 논문집
    • /
    • pp.787-790
    • /
    • 2000
  • This paper introduces a new type of representation of the LSPs as a promising alternative used for transmitting the LPC parameters. Major contribution in this paper is that the vocal track information embedded on the spectral envelope can be represented in terms of the reduced number of LSF compared tn the conventional. Hence, it provides a possibility that LPC parameters could be quantized at a reduced bit rate without causing any major spectral distortion. The simulation result illustrates the capability of the proposed LSPs representation as an efficient quantization method via a proper rejection of the redundant pairs of pole and zero along the unit circle.

  • PDF