Frame Rate Conversion Based High Efficient Compression Method for Video Satellite

被引:2
|
作者
Wang, Xu [1 ,2 ]
Hu, Ruimin [1 ,2 ]
Xiao, Jing [1 ,3 ]
机构
[1] Wuhan Univ, Sch Comp Sci, Natl Engn Res Ctr Multimedia Software, Wuhan, Hubei, Peoples R China
[2] Wuhan Univ, Hubei Key Lab Multimedia & Network Commun Engn, Wuhan, Hubei, Peoples R China
[3] Collaborat Innovat Ctr Geospatial Technol, Wuhan, Hubei, Peoples R China
关键词
Video satellite; Video coding; Frame interpolation; Motion estimation;
D O I
10.1007/978-3-030-00767-6_4
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Video transmission from satellites to ground devices usually requires a large amount of channel resource due to the huge size of satellite video. Subject to limited computation capability and transmission bandwidth in space environment, the video encoder for video satellite calls for higher coding efficiency. In this paper, we propose a high efficiency satellite video compression method based on frame rate conversion. We firstly down-sample frame rate of satellite video prior to encoding, and then adopt frame interpolation to recover its original frame rate after decoding in the ground. Furthermore, we raise a novel frame interpolation method via fusion of phase-based and region-based method to retain the naturalness of interpolated frames. Experiments show that our proposed coding scheme achieves higher efficiency than H.264 and HEVC in terms of rate-distortion performance. The proposed frame interpolation method is also verified to be more accurate than state-of-the-art methods.
引用
收藏
页码:35 / 44
页数:10
相关论文
共 50 条
  • [41] Detecting video frame-rate up-conversion based on periodic properties of inter-frame similarity
    Shan Bian
    Weiqi Luo
    Jiwu Huang
    Multimedia Tools and Applications, 2014, 72 : 437 - 451
  • [42] Detecting video frame-rate up-conversion based on periodic properties of inter-frame similarity
    Bian, Shan
    Luo, Weiqi
    Huang, Jiwu
    MULTIMEDIA TOOLS AND APPLICATIONS, 2014, 72 (01) : 437 - 451
  • [43] Detecting video frame rate up-conversion based on frame-level analysis of average texture variation
    Xia, Min
    Yang, Gaobo
    Li, Leida
    Li, Ran
    Sun, Xingming
    MULTIMEDIA TOOLS AND APPLICATIONS, 2017, 76 (06) : 8399 - 8421
  • [44] Frame Rate Up-Conversion based Motion Vector Derivation for Hybrid Video Coding
    Li, Xiang
    Chen, Jianle
    Karczewicz, Marta
    2017 DATA COMPRESSION CONFERENCE (DCC), 2017, : 390 - 399
  • [45] Efficient compression method for cell animation video
    Min, B
    Kim, S
    Mandal, M
    Jeong, J
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2005, E88B (08) : 3443 - 3450
  • [46] Dynamic Frame Resizing with Convolutional Neural Network for Efficient Video Compression
    Kim, Jaehwan
    Park, Youngo
    Choi, Kwang Pyo
    Lee, JongSeok
    Jeon, Sunyoung
    Park, JeongHoon
    APPLICATIONS OF DIGITAL IMAGE PROCESSING XL, 2017, 10396
  • [47] Robust Video Frame Rate Up-Conversion (FRUC) Techniques
    Thaipanich, Tanaphol
    Wu, Ping-Hao
    Kuo, C. -C. Jay
    2009 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS, 2009, : 51 - 52
  • [48] Occlusion Artifact Removal in Video Frame Rate Up-conversion
    Cizmeci, Burak
    Ates, Hasan F.
    2009 IEEE 17TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE, VOLS 1 AND 2, 2009, : 523 - 526
  • [49] Video frame rate up conversion under inconsistent camera motion
    Jinsong Wang
    Nilesh Patel
    William Grosky
    Farshad Fotouhi
    Multimedia Tools and Applications, 2008, 39 : 329 - 351
  • [50] Video frame rate up conversion under inconsistent camera motion
    Wang, Jinsong
    Patel, Nilesh
    Grosky, William
    Fotouhi, Farshad
    MULTIMEDIA TOOLS AND APPLICATIONS, 2008, 39 (03) : 329 - 351