Multiresolution segmentation of video objects in the compression domain

Xu-li Shi; Zhao-Yang Zhang; Liquan Shen; Yu Lu; Suxing Liu

doi:10.1117/1.2784773

1 September 2007 Multiresolution segmentation of video objects in the compression domain

Xu-li Shi, Zhao-Yang Zhang, Liquan Shen, Yu Lu, Suxing Liu

Author Affiliations +

Optical Engineering, Vol. 46, Issue 9, 097401 (September 2007). https://doi.org/10.1117/1.2784773

Abstract

This paper proposes a multiresolution method for video object segmentation in the compression domain. We first calculate global motion parameters using only background macroblocks with tiny residual dc coefficients of the P frame, and then get true motion vectors projected to the immediate adjoined I frame. The basic layer image is obtained with only dc coefficients of the I frame. The enhancement texture characteristics are provided by the ac coefficients for partial decoding. The true object motion vectors and the basic layer image are fed into a morphological motion filter to get the lowest-resolution regions of moving objects, called the layer4 region of interest (L4-ROI). Only some of the ac coefficients in L4-ROI are decoded to obtain a higher-resolution image, called layer3, that mainly consists of blocks of the moving object. The moving object of interest in the highest resolution is obtained from a morphological motion filter with L2-ROI and the true object motion vectors. The number of ac coefficients determines the resulting resolution. Experiments show that the new algorithm can extract multiresolution moving objects efficiently.

©(2007) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Xu-li Shi, Zhao-Yang Zhang, Liquan Shen, Yu Lu, and Suxing Liu "Multiresolution segmentation of video objects in the compression domain," Optical Engineering 46(9), 097401 (1 September 2007). https://doi.org/10.1117/1.2784773

Published: 1 September 2007

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available