Region-of-interest-based video transcoding from MPEG-2 to H.264 in the compressed domain

Rong Xie; Songyu Yu

doi:10.1117/1.2976797

1 September 2008 Region-of-interest-based video transcoding from MPEG-2 to H.264 in the compressed domain

Rong Xie, Songyu Yu

Author Affiliations +

Optical Engineering, Vol. 47, Issue 9, 097001 (September 2008). https://doi.org/10.1117/1.2976797

Abstract

A new MPEG-2-to-H.264 video transcoding algorithm based on regions of interest (ROIs) is proposed. The whole transcoding scheme, including the ROI detection, is applied in the compressed domain to alleviate the computational load. The ROI detection uses the motion information from the partially decoded MPEG-2 bitstream. Then the ROIs that are likely to attract the viewer's attention are transcoded with drift compensation to provide better quality, while other regions are transcoded without drift compensation to save computational complexity. Experimental results show that our algorithm provides a better trade-off between computational complexity and picture quality. It achieves a speedup of 2 times over the closed-loop transcoding algorithm in the compressed domain, while giving comparable visual quality.

©(2008) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Rong Xie and Songyu Yu "Region-of-interest-based video transcoding from MPEG-2 to H.264 in the compressed domain," Optical Engineering 47(9), 097001 (1 September 2008). https://doi.org/10.1117/1.2976797

Published: 1 September 2008

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