• Title/Summary/Keyword: Video sequence

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Visual Rhythm of Thriller Movies's Opening Title - Focusing on Identity (스릴러장르 영화 오프닝 시퀀스의 시각적 리듬 - '아이덴티티(Identity)'를 중심으로)

  • Shin, Seung-Yun;Sung, Bong-Sun;Kim, Jae-Ho
    • Journal of Korea Multimedia Society
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    • v.13 no.9
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    • pp.1365-1372
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    • 2010
  • Information of video can be percieved as the form of visual rhythm through temporal ordering systems. The shot, the base unit of video analysis, affects audience psychologicaliy with various temporal combination. Here, psychological stress and density of the story can be adjusted by the point of view shot of character. Acordingly the correlation analysis of shot duration and point of view shot can be useful for visual rhythm research. Identity one of the thriller genre works was selected for analyzing. This works produced by Kyle Cooper, a famous person in the opening sequence field. This works produced by Kyle Cooper, a famous person in the opening sequence field.

FRACTAL CODING OF VIDEO SEQUENCE USING CPM AND NCIM

  • Kim, Chang-Su;Kim, Rin-Chul;Lee, Sang-Uk
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 1996.06b
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    • pp.72-76
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    • 1996
  • We propose a novel algorithm for fractal video sequence coding, based on the circular prediction mapping (CPM), in which each range block is approximated by a domain block in the circularly previous frame. In our approach, the size of the domain block is set to be same as that of the range block for exploiting the high temporal correlation between the adjacent frames, while most other fractal coders use the domain block larger than the range block. Therefore the domain-range mapping in the CPM is similar to the block matching algorithm in the motion compensation techniques, and the advantages of this similarity are discussed. Also we show that the CPM can be combined with non-contractive inter-frame mapping (NCIM), improving the performance of the fractal sequence coder further. The computer simulation results on real image sequences demonstrate that the proposed algorithm provides very promising performance at low bit-rate, ranging from 40 Kbps to 250 Kbps.

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An adaptive motion estimation based on the temporal subband analysis (시간축 서브밴드 해석을 이용한 적응적 움직임 추정에 관한 연구)

  • 임중곤;정재호
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.6
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    • pp.1361-1369
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    • 1996
  • Motion estimation is one of the key components for high quality video coding. In this paper, a new motion estimation scheme for MPEG-like video coder is suggested. The proposed temporally adaptive motion estimation scheme consists of five functional blocks: Temporal subband analysis (TSBA), extraction of temporal information, scene change detection (SCD), picture type replacement (PTR), and temporally adapted block matching algorithm (TABMA). Here all the functional components are based on the temporal subband analysis. In this papre, we applied the analysis part of subband decompostion to the temporal axis of moving picture sequence, newly defined the temporal activity distribution (TAD) and average TAD, and proposed the temporally adapted block matching algorithm, the scene change detection algorithm and picture type replacement algorithm which employed the results of the temporal subband analysis. A new block matching algorithm TABMA is capable of controlling the block matching area. According to the temporal activity distribution of objects, it allocates the search areas nonuniformly. The proposed SCD and PTR can prevent unavailable motion prediction for abrupt scene changes. Computer simulation results show that the proposed motion estimation scheme improve the quality of reconstructed sequence and reduces the number of block matching trials to 40% of the numbers of trials in conventional methods. The TSBA based scene change detection algorithm can detect the abruptly changed scenes in the intentionally combined sequence of this experiment without additional computations.

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MPEG Video Segmentation Using Frame Feature Comparison (프레임 특징 비교를 이용한 압축비디오 분할)

  • 김영호;강대성
    • Journal of the Institute of Convergence Signal Processing
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    • v.4 no.2
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    • pp.25-30
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    • 2003
  • Recently, development of digital technology is occupying a large part of multimedia information like character, voice, image, video, etc. Research about video indexing and retrieval progresses especially in research relative to video. In this paper, we propose new algorithm(Frame Feature Comparison) for MPEG video segmentation. Shot, Scene Change detection is basic and important works that segment it in MPEG video sequence. Generally, the segmentation algorithm that uses much has defect that occurs an error detection according to a flash of camera, movement of camera and fast movement of an object, because of comparing former frames with present frames. Therefore, we distinguish a scene change one more time using a scene change point detected in the conventional algorithm through comparing its mean value with abutted frames. In the result, we could detect more corrective scene change than the conventional algorithm.

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Transmission of Multimedia Traffic over Mobile Ad-hoc Networks (모바일 ad-hoc 네트워크에서 멀티미디어 트래픽 전송)

  • Kim, Young-Dong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.9 no.1
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    • pp.95-101
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    • 2005
  • In this paper, some performance characteristics of multimedia traffic for mobile ad-hoc networks is studied with simulations. Synthetic streaming video is considered as the multimedia traffic for MPEG-coded video in the simulation. The synthetic video stream is generated with a video stream generation algorithm. The algorithm generate VBR traffics for MPEG video streams with special predefined GOP(group of pictures) patterns that is consisted of a sequence of I(intra-coded), P(predicted-coded) and B(bidirectional-coded) frames. The synthetic VBR streams is transmitted through UDP protocol with on-demand mobile ad-hoc network routing protocols like as AODV and DSR. And performances for video streams through mobile ad-hoc networks is evaluated, the throughputs is compared between data and video traffics.

Temporal Anti-aliasing of a Stereoscopic 3D Video

  • Kim, Wook-Joong;Kim, Seong-Dae;Hur, Nam-Ho;Kim, Jin-Woong
    • ETRI Journal
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    • v.31 no.1
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    • pp.1-9
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    • 2009
  • Frequency domain analysis is a fundamental procedure for understanding the characteristics of visual data. Several studies have been conducted with 2D videos, but analysis of stereoscopic 3D videos is rarely carried out. In this paper, we derive the Fourier transform of a simplified 3D video signal and analyze how a 3D video is influenced by disparity and motion in terms of temporal aliasing. It is already known that object motion affects temporal frequency characteristics of a time-varying image sequence. In our analysis, we show that a 3D video is influenced not only by motion but also by disparity. Based on this conclusion, we present a temporal anti-aliasing filter for a 3D video. Since the human process of depth perception mainly determines the quality of a reproduced 3D image, 2D image processing techniques are not directly applicable to 3D images. The analysis presented in this paper will be useful for reducing undesirable visual artifacts in 3D video as well as for assisting the development of relevant technologies.

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An Efficient Frame-Level Rate Control Algorithm for High Efficiency Video Coding

  • Lin, Yubei;Zhang, Xingming;Xiao, Jianen;Su, Shengkai
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.4
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    • pp.1877-1891
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    • 2016
  • In video coding, the goal of rate control (RC) is not only to avoid the undesirable fluctuation in bit allocation, but also to provide a good visual perception. In this paper, a novel frame-level rate control algorithm for High Efficiency Video Coding (HEVC) is proposed. Firstly a model that reveals the relationship between bit per pixel (bpp), the bitrate of the intra frame and the bitrate of the subsequent inter frames in a group of pictures (GOP) is established, based on which the target bitrate of the first intra frame is well estimated. Then a novel frame-level bit allocation algorithm is developed, which provides a robust bit balancing scheme between the intra frame and the inter frames in a GOP to achieve the visual quality smoothness throughout the whole sequence. Our experimental results show that when compared to the RC scheme for HEVC encoder HM-16.0, the proposed algorithm can produce reconstructed frames with more consistent objective video quality. In addition, the objective visual quality of the reconstructed frames can be improved with less bitrate.

Impact of the Varying Estimation Period on Subjective Video Quality Evaluation for IPTV Service (IPTV에서 평가주기 변화가 주관적 영상 화질 평가에 미치는 영향 분석)

  • Ha, Sang-Yong;Kim, Chin-Chol;Jung, Woon-Young;Choi, Jae-young;Roh, Byeong-Hee
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.4B
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    • pp.314-321
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    • 2011
  • There have been considerable standardization works to measure subjective video quality. However, these standardization methods are based on the situation where they have original or reference video sequences, and measure the video quality by looking the sequence during short time duration, e.g. 10 seconds. Since people's TV watching time durations in IPTV services are very long (e.g. more than 30 minutes), the quality measurements by the standards are not practical. In this paper, we analyze the effect of video quality rating period to MOS (Mean Opinion Score), and suggest a proper rating duration of subjective video quality for IPTV services.

Zoom Lens Distortion Correction Of Video Sequence Using Nonlinear Zoom Lens Distortion Model (비선형 줌-렌즈 왜곡 모델을 이용한 비디오 영상에서의 줌-렌즈 왜곡 보정)

  • Kim, Dae-Hyun;Shin, Hyoung-Chul;Oh, Ju-Hyun;Nam, Seung-Jin;Sohn, Kwang-Hoon
    • Journal of Broadcast Engineering
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    • v.14 no.3
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    • pp.299-310
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    • 2009
  • In this paper, we proposed a new method to correct the zoom lens distortion for the video sequence captured by the zoom lens. First, we defined the nonlinear zoom lens distortion model which is represented by the focal length and the lens distortion using the characteristic that lens distortion parameters are nonlinearly and monotonically changed while the focal length is increased. Then, we chose some sample images from the video sequence and estimated a focal length and a lens distortion parameter for each sample image. Using these estimated parameters, we were able to optimize the zoom lens distortion model. Once the zoom lens distortion model was obtained, lens distortion parameters of other images were able to be computed as their focal lengths were input. The proposed method has been made experiments with many real images and videos. As a result, accurate distortion parameters were estimated from the zoom lens distortion model and distorted images were well corrected without any visual artifacts.