Earticle

초록

영어

This paper presents a hybrid content-based video coding scheme that encodes arbitrary shaped objects instead of blocks of images. The scheme achieves efficient compression for low bit-rate applications by separating moving objects from stationary background and transmitting the shape, motion and residuals for each segmented object. Furthermore, a new content-based object segmentation algorithm is proposed in the scheme, which does not assume any prior modeling of the objects being segmented. The algorithm is based on a threshold function that calculates block histograms and takes image noise into account. The experimental results show that the scheme proposed outperforms the classical object-based coding methods in terms of PSNR or the average number of bits required for coding a single frame.

목차

Abstract
 1. Introduction
 2. Structure of Hybrid Object-based Coding
  2.1. Overview
  2.2. Object Motion Detection
  2.3. Motion Estimation and Compensation
  2.4. Motion Failure
  2.5. Residual Encoding
  2.6. Shape Analysis
 3. Experimental Results and Analysis
 4. Conclusions
 References

키워드

저자

• Wendan Xu [ Institute of Electronic CAD, Xidian University, Xi’an, 710071, P.R. China, Xi’an Aeronautical University, Xi’an, 710077, P. R. China ]
• Xinquan Lai [ Institute of Electronic CAD, Xidian University, Xi’an, 710071, P.R. China ]
• Donglai Xu [ School of Science & Engineering, Teesside University, Middlesbrough, TS1 3BA, UK ]
• Nick A. Tsoligkas [ School of Science & Engineering, Teesside University, Middlesbrough, TS1 3BA, UK ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605