• DocumentCode
    3017526
  • Title

    Subsampling Based Computation-Aware Motion Estimation

  • Author

    Chi-Kao Chang ; Min-Yuan Fang ; I-Chang Jou ; Nai-Chung Yang ; Chung-Ming Kuo

  • Author_Institution
    Dept. of Inf. Eng., I-Shou Univ., Kaohsiung, Taiwan
  • fYear
    2013
  • fDate
    2-5 July 2013
  • Firstpage
    171
  • Lastpage
    175
  • Abstract
    Computation-aware (CA) scheme has been proposed to efficiently allocate computational resources. However, the computations of motion estimation could be overloaded in limited computing environments, even using the CA algorithms. In this paper, we introduce a method that achieves motion estimation in the extremely insufficient computation power. We proposed a low-distortion based PCDB list to achieve better visual quality. To decrease the computation-power requirement, sub sampling technique is coupled with the proposed algorithm. The proposed method significantly reduces the requirement of computation power in computing motion vectors. Satisfactory visual quality can be obtained under the extreme condition.
  • Keywords
    image sampling; motion estimation; resource allocation; vectors; CA algorithm; computation power requirement; computational resource allocation; low-distortion based PCDB list; motion vectors; predicted computation-distortion benefit; subsampling based computation-aware motion estimation; visual quality; Algorithm design and analysis; Computational efficiency; Motion estimation; PSNR; Prediction algorithms; Signal processing algorithms; Visualization; Computation-aware (CA); motion estimation; subsampling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biometrics and Security Technologies (ISBAST), 2013 International Symposium on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-0-7695-5010-7
  • Type

    conf

  • DOI
    10.1109/ISBAST.2013.30
  • Filename
    6597685