19 April 2012 Motion vector composition through Lagrangian optimization for arbitrary frame-size video transcoding
Author Affiliations +
Video transcoding is usually conducted when the device does not support the current format or has limited storage capacity. Video transcoding is a computation-intensive process that changes one format to another one, and various multimedia applications have made it important in recent years. We present a new motion vector (MV) composition algorithm for arbitrary frame-size video transcoding. The proposed method uses the relation between the prediction error and the required bits when encoding MVs to form an auxiliary function called the Lagrange function. Therefore, MV composition is converted into a constrained optimization problem. Through the Lagrangian optimization, a dominant MV is selected from a set of candidate MVs by minimizing this cost function. The major contribution of the proposed method is that we emphasize the effect of the bits required to encode MVs; therefore, at the same target bitrate, the proposed method provides better coding performance. Experimental results show that the proposed method has better performance in terms of both objective and subjective qualities than other existing methods.
© 2012 Society of Photo-Optical Instrumentation Engineers (SPIE)
Chia-Hung Yeh, Chia-Hung Yeh, Shu-Jhen F. Jiang, Shu-Jhen F. Jiang, Tai-Chan Chen, Tai-Chan Chen, Mei-Juan Chen, Mei-Juan Chen, } "Motion vector composition through Lagrangian optimization for arbitrary frame-size video transcoding," Optical Engineering 51(4), 047401 (19 April 2012). https://doi.org/10.1117/1.OE.51.4.047401 . Submission:


Reduced-energy decoding of MPEG streams
Proceedings of SPIE (December 09 2001)
Distributed sender-driven video streaming
Proceedings of SPIE (January 18 2006)
A novel rate control scheme for H.264 video coding using...
Proceedings of SPIE (October 24 2004)

Back to Top