Computer Science ›› 2020, Vol. 47 ›› Issue (2): 76-82.doi: 10.11896/jsjkx.190500092

• Computer Graphics & Multimedia • Previous Articles     Next Articles

Video Compression Algorithm Combining Frame Rate Up-conversion with HEVC Standard Based on Motion Vector Refinement

CAI Yu-han,XIONG Shu-hua,SUN Wei-heng,Karn PRADEEP,HE Xiao-hai   

  1. (College of Electronics and Information Engineering,Sichuan University,Chengdu 610065,China)
  • Received:2019-05-17 Online:2020-02-15 Published:2020-03-18
  • About author:CAI Yu-han,born in 1995,postgra-duate,is not member of China Compu-ter Federation.His main research in-terests include image/video coding and so on;XIONG Shu-hua,born in 1969,Ph.D,associate professor,master supervisor.Her main research interests include multimedia communication and signal processing and image processing.
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (61871279, 61471248)and Chengdu Industrial Cluster Collaborative Innovation Project (2016-XT00-00015-GX).

Abstract: Combining frame rate conversion technology with the HEVC standard will improve the compression efficiency of video.Aiming at the non-ideal result in frame rate up-conversion using the motion vector of low frame rate video extracted from HEVC coding bit stream directly,this paper proposed a compression algorithm combining frame rate up-conversion and HEVC based on motion vector refinement.Firstly,at the encoding end,the original even frames are extracted to reduce the frame rate of video,and then the low frame rate video is encoded and decoded by HEVC.Combined with the motion vector extracted from HEVC coding bit stream at the decoding end,the forward-backward joint motion estimation is used to further refine it,which makes the motion vector closer to the real motion of the object.Finally,the frame rate up conversion technique based on motion compensation is used to restore the video to its original frame rate.Experimental results show that compared with the HEVC standard,the proposed algorithm has some bitrate saving.In the meantime,compared with other algorithms,the proposed algorithm can increase the PSNR value of reconstructed videos by 0.5 dB on average with the same bitrate saving.

Key words: Frame rate up-conversion, High efficiency video coding(HEVC), Joint motion estimation, Refinement of motion vector

CLC Number: 

  • TN919.81
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