An application of optical flow: Slow motion effect on streaming image sequences

被引:0
|
作者
Dudek, Roman [1 ]
Cuenca, Carmelo [1 ]
Quintana, Francisca [1 ]
机构
[1] Univ Las Palmas Gran Canaria, Dept Informat & Sistemas, Granada, Spain
关键词
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In this paper we describe an application of the optical flow in order to create a slow motion effect and frame rate conversion on streaming image sequences. Our results show that using the optical flow based method the image sequence shows much less artifacts than than in traditional interpolation or mixing methods.
引用
收藏
页码:654 / 659
页数:6
相关论文
共 50 条
  • [21] ControlGrid motion estimation for efficient application of optical flow
    Zwart, Christine M.
    Frakes, David H.
    Synthesis Lectures on Algorithms and Software in Engineering, 2013, 5 (01): : 1 - 89
  • [22] Integration of region tracking and optical flow for image motion estimation
    Neumann, U
    You, SY
    1998 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL 3, 1998, : 658 - 662
  • [23] An optical flow method for micro blood motion image computation
    Xie Weixin
    Lu Zongqing
    Pei Jihong
    CHINESE JOURNAL OF ELECTRONICS, 2006, 15 (4A): : 797 - 802
  • [24] Improved Optical Flow Motion Estimation for Digital Image Stabilization
    Lai, Lijun
    Xu, Zhiyong
    Zhang, Xuyao
    SELECTED PAPERS OF THE PHOTOELECTRONIC TECHNOLOGY COMMITTEE CONFERENCES, 2015, 9795
  • [25] An optical flow method for micro blood motion image computation
    Key Laboratory for Intelligent Information Processing, Shenzhen University, Shenzhen 518060, China
    不详
    Chin J Electron, 2006, 4 A (797-802):
  • [26] Motion flow estimation from image sequences with applications to biological growth and motility
    Dong, Gang
    Baskin, Tobias I.
    Palaniappan, Kannappan
    2006 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP 2006, PROCEEDINGS, 2006, : 1245 - +
  • [27] Estimating motion flow field in image sequences using Cellular Neural Networks
    Rubin, S
    Milanova, M
    Campilho, A
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED PROCESSING TECHNIQUES AND APPLICATIONS, VOLS I-V, 2000, : 1165 - 1171
  • [28] Accurate optical flow in noisy image sequences using flow adapted anisotropic diffusion
    Scharr, H
    Spies, H
    SIGNAL PROCESSING-IMAGE COMMUNICATION, 2005, 20 (06) : 537 - 553
  • [29] Optical Flow-based Video Completion in Spherical Image Sequences
    Xu, Binbin
    Pathak, Sarthak
    Fujii, Hiromitsu
    Yamashita, Atsushi
    Asama, Hajime
    2016 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO), 2016, : 388 - 395
  • [30] Muscle Movement Tracking from Ultrasound Image Sequences with Optical Flow
    He, Keshi
    2024 16TH INTERNATIONAL CONFERENCE ON COMPUTER AND AUTOMATION ENGINEERING, ICCAE 2024, 2024, : 260 - 263