• Title/Summary/Keyword: visual frame

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Key-Frame Based Real-Time Fluid Simulations (키-프레임 기반 실시간 유체 시뮬레이션)

  • Ryu, Ji-Hyun;Park, Sang-Hun
    • Journal of Korea Multimedia Society
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    • v.9 no.11
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    • pp.1515-1528
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    • 2006
  • Systems for physically based fluid animation have developed rapidly in the visual special effects industry and can make very high quality images. However, in the real-time application fields such as computer game, the simulation speed is more critical issue than image quality. This paper presents a real-time method for animating fluid using programmable graphics pipeline. We show that once two key-frames are given, the technique can interactively generate a sequence of images changing from the source key-frame to the target.

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A Study on the Camera Calibration Algorithm using the Grid Type Frame with Different Line Widths (다른 선폭들로 구성된 격자형 교정판을 이용한 카메라 교정 알고리즘에 관한 연구)

  • Jeong, Jun-Ik;Han, Young-Bae;Rho, Do-Hwan
    • Proceedings of the KIEE Conference
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    • 1998.07g
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    • pp.2333-2335
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    • 1998
  • Recently, the development of computer achieves a system which is similar to the mechanics of human visual system. The 3D measurement using monocular vision system must be achieved a camera calibration. So far, the camera calibration technique required reference target in a scene. But, these methods are inefficient because they have many calculation procedures and difficulties in analysis. Therefore, this paper proposes a native method that without reference target in a scene. We use the grid type frame with different line widths. This method uses vanishing point concept that possess a rotation parameter of the camera and perspective ration that perfect each line widths into a image. We confirmed accuracy of calibration parameter estimation through experiment on the algorithm with a grid paper with different line widths.

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Region-based H.263 Video Codec with Effective Rate Control Algorithm for Low VBR Video

  • Song, Hwangjun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.24 no.9B
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    • pp.1755-1766
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    • 1999
  • A region-based video codec based on the H.263+ standard is examined and its associated novel rate control scheme is proposed in this work. The region-based coding scheme is a hybrid method that consists of the traditional block DCT coding and the object-based coding. Basically, we adopt H.263+ as the platform, and develop a fast macroblock-based segmentation method to implement the region-based video codec. The proposed rate control solution includes rate control in three levels: encoding frame selection, frame-layer rate control and macroblock-layer rate control. The goal is to enhance the visual quality of decoded frames at low bit rates. The efficiency of proposed rate control scheme applied to the region-based video codes is demonstrated via several typical test sequences.

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A Study on the Relationship between the Spatial Configuration and Open Education in Primary Schools (초등학교(初等學校)의 열린교육과 학습공간구성(學習空間構成)의 대응관계(對應關係)에 관한 연구(硏究))

  • Lee, Soo-Kyoung;Kim, Yong-Seung
    • Journal of the Korean Institute of Educational Facilities
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    • v.6 no.3
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    • pp.19-27
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    • 1999
  • The purpose of this study is for providing the people with the objective method which estimates the various spatial configuration of primary schools in terms of teacher's screening through analyzing structural visual aspects of common classrooms and open corridors for multi-service of primary schools in Korea. In doing so, the study makes use of graphical solutions derived from the concept of 'Frame' which is one of Basil Bernstein's theories. As a case study, it deals with five primary schools designed for open-education. Throughout this investigation, it takes some numerical values of spatial characters concerned with 'Frame', and can have some conclusions about the relationship between the change of curriculum and the spatial configuration.

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Video Saliency Detection Using Bi-directional LSTM

  • Chi, Yang;Li, Jinjiang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.6
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    • pp.2444-2463
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    • 2020
  • Significant detection of video can more rationally allocate computing resources and reduce the amount of computation to improve accuracy. Deep learning can extract the edge features of the image, providing technical support for video saliency. This paper proposes a new detection method. We combine the Convolutional Neural Network (CNN) and the Deep Bidirectional LSTM Network (DB-LSTM) to learn the spatio-temporal features by exploring the object motion information and object motion information to generate video. A continuous frame of significant images. We also analyzed the sample database and found that human attention and significant conversion are time-dependent, so we also considered the significance detection of video cross-frame. Finally, experiments show that our method is superior to other advanced methods.

Impact of Image Type and Brand Familiarity on the Effectiveness of Bundling

  • Sungmi Lee
    • International Journal of Internet, Broadcasting and Communication
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    • v.15 no.4
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    • pp.100-106
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    • 2023
  • Bundling has become a general promotion strategy in mobile shopping context. Previous research on bundling has mostly focused on bundle frame or price frame. Even though consumers are searching and purchasing the product in mobile channels, little research has investigated the effects of bundling in mobile shopping. The objectives of this study is to examine how different product image of bundle affects consumer's perception and purchase intention differently, and how brand familiarity moderate this influence. A sample of 140 subjects participated in a within-subjects experiment. A bundling composed of two different product image (a single product vs. bundled products) was evaluated by individuals. Brand familiarity (familiar brand vs. unfamiliar brand) were manipulated to test a set of hypotheses. We found that the effectiveness of bundling does not depend on the type of product image and brand familiarity. The findings of our study provide some implications for researchers and marketers. Although there have been studies on the effects of bundle framing on consumer behavior, we suggest new insights regarding bundling based on product image and mobile shopping context.

A Study on the Affordance of Façade design in Domestic Five-star Hotels (국내 5성급 호텔 입면디자인의 시지각적 지원성에 관한 연구)

  • Kim, Su-Hee;Kim, Bong-Ae
    • Korean Institute of Interior Design Journal
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    • v.25 no.1
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    • pp.181-191
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    • 2016
  • The purpose of this study is to analyze affordance of façade design by extracting analysis elements of affordance in façade design domestic five-star hotels. The subjects of this study were 88 domestic five-star hotels; we selected literature review and case study as methodology. The analysis elements included mass forms, exterior colors, window frame patterns, exterior characteristics, and door types based on the visual perception factors of façade design from the concept of affordance. The results of the study were as follows. First, the mass forms were divided into stackable, integral, and connection types, and stackable type was most frequent. Second, exterior colors were divided into achromatic, red, yellow, and opaque color parts, and the achromatic parts were most frequent. Third, the window frame patterns were divided into grid, irregular, full, horizontal, and vertical windows, and grid windows were most frequent. Fourth, the exterior characteristics were divided into formative mass, horizontal partition, design contrast, tiled roof, and facility connection, and the formative mass was most frequent. Fifth, the door types were divided into porch, piloti, and wall type, and porch was most frequent. The results of this study showed that the façade design elements such as mass forms, exterior colors, window frame patterns, exterior characteristics, and door types intentionally contained affordance.

Experimental study on identification of stiffness change in a concrete frame experiencing damage and retrofit

  • Zhou, X.T.;Ko, J.M.;Ni, Y.Q.
    • Structural Engineering and Mechanics
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    • v.25 no.1
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    • pp.39-52
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    • 2007
  • This paper describes an experimental study on structural health monitoring of a 1:3-scaled one-story concrete frame subjected to seismic damage and retrofit. The structure is tested on a shaking table by exerting successively enhanced earthquake excitations until severe damage, and then retrofitted using fiber-reinforced polymers (FRP). The modal properties of the tested structure at trifling, moderate, severe damage and strengthening stages are measured by subjecting it to a small-amplitude white-noise excitation after each earthquake attack. Making use of the measured global modal frequencies and a validated finite element model of the tested structure, a neural network method is developed to quantitatively identify the stiffness reduction due to damage and the stiffness enhancement due to strengthening. The identification results are compared with 'true' damage severities that are defined and determined based on visual inspection and local impact testing. It is shown that by the use of FRP retrofit, the stiffness of the severely damaged structure can be recovered to the level as in the trifling damage stage.

Transmission for IEC 61850 Sampled Values Using Current and Voltage Sensors of Raspberry Pi (라즈베리파이 전류와 전압 센서를 이용한 IEC 61850 샘플 값 전송)

  • Hwang, Sung-Ho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.6
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    • pp.157-162
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    • 2018
  • This study uses sensors and Raspberry Pi to measure the values of current and voltage and transmits the measured sampled values to a network, carrying them in the frame of IEC 61850-9-2. A laboratory model was composed to send the sampled values, using the frame of IEC 61850-9-2. This study conducted a protocol analysis, using Wireshark for the accurate verification of the occurrence of the frame of IEC 61850-9-2. A visual analysis was conducted by displaying the received sampled values of current and voltage on the monitor in graphs. In addition, this study tested if the sampled values of IEC 61850-9-2 sent and received through the network equipment would meet the performance requirements of the message types of IEC 61850.

CNN-based Visual/Auditory Feature Fusion Method with Frame Selection for Classifying Video Events

  • Choe, Giseok;Lee, Seungbin;Nang, Jongho
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.3
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    • pp.1689-1701
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    • 2019
  • In recent years, personal videos have been shared online due to the popular uses of portable devices, such as smartphones and action cameras. A recent report predicted that 80% of the Internet traffic will be video content by the year 2021. Several studies have been conducted on the detection of main video events to manage a large scale of videos. These studies show fairly good performance in certain genres. However, the methods used in previous studies have difficulty in detecting events of personal video. This is because the characteristics and genres of personal videos vary widely. In a research, we found that adding a dataset with the right perspective in the study improved performance. It has also been shown that performance improves depending on how you extract keyframes from the video. we selected frame segments that can represent video considering the characteristics of this personal video. In each frame segment, object, location, food and audio features were extracted, and representative vectors were generated through a CNN-based recurrent model and a fusion module. The proposed method showed mAP 78.4% performance through experiments using LSVC data.