By Topic

An Effective Motion Re-estimation in Frame-Skipping Video Transcoding

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Patil, V. ; Comput. Sci. & Eng. Dept., Indian Inst. of Technol., Kharagpur ; Kumar, R.

A new motion vector (MV) composition method, which we call temporal bi-directional dominant vector selection (TBDVS), for frame-skipping transcoding of pre-coded video is presented. The TBDVS utilizes a existing relationship, in pre-coded video, between the pixels of a frame and its reference frame(s) via MVs and selects a dominant MV from a set of candidate MVs to minimize prediction errors. It is general enough to handle frame-skipping, including I frame, in an arbitrary manner from a generic I-B-P frame structure video. Experimental results using cascaded pixel-domain transcoder show performance gain over the existing methods in terms of both quality and bit rate. We also propose a refinement method that adaptively adjusts the search range to further improve the performance at marginal cost

Published in:

Computing: Theory and Applications, 2007. ICCTA '07. International Conference on

Date of Conference:

5-7 March 2007