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RESEARCH COMMUNICATION PORTAL

논문 국내 국내전문학술지(KCI급) 분산 압축 비디오 센싱을 위한 MC-BCS-SPL 기법의 안정화 알고리즘

  • 학술지 구분 국내전문학술지(KCI급)
  • 게재년월 2017-05
  • 저자명 김진수
  • 학술지명 멀티미디어학회논문지
  • 발행처명 한국멀티미디어학회
  • 발행국가 국내
  • 논문언어 외국어
  • 전체저자수 2

논문 초록 (Abstract)

Distributed compressed video sensing (DCVS) is a framework that integrates both compressed sensing and distributed video coding characteristics to achieve a low complexity video sampling. In DCVS schemes, motion estimation & motion compensation is empl oyed at the decoder side, similarly to distributed video coding (DVC ), for a low-complex encoder. However, since a simple BCS-SPL alg orithm is applied to a residual arising from motion estimation and compensation in conventional MC-BCS-SPL (motion compensated block com pressed sensing with smoothed projected Landweber) scheme, the reconstru cted visual qualities are severly degraded in Wyner-Ziv (WZ) frames. Furthermore, the scheme takes lots of iteration to reconstruct WZ fra mes. In this paper, the conventional MC-BCS-SPL algorithm is improved to be operated in more effective way in WZ frames.That is, first, the proposed algorithm calculates a correlation coefficient between two reference key frames and, then, by selecting adaptively the refe rence frame, the residual reconstruction in pixel domain is performed t o the conventional BCS-SPL scheme. Experimental results show that the proposed algorithm achieves significantly better visua l qualities than conventional MC-BCS-SPL algorithm, while resulting in the significant reduction of the decoding time.