Method and system for efficient video transcoding using coding modes, motion vectors and residual information

US9100656B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9100656-B2
Application numberUS-201213555172-A
CountryUS
Kind codeB2
Filing dateJul 22, 2012
Priority dateMay 21, 2009
Publication dateAug 4, 2015
Grant dateAug 4, 2015

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Abstract

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An improved MPEG-4 to H.264 transcoding algorithm is provided, exploiting residual, coding mode and motion vector information from the MPEG-4 stream. The use of the relative sum of absolute residuals (RSAR) to classify macroblocks (MB) leads to small sets of coding modes (CM) to test, and significantly reduces the computational complexity. In addition, RSAR is used to conditionally refine motion vectors (MV); only those MVs most likely to lead to quality improvements are refined. The average RSAR statistics are obtained from the transcoding of the previous Inter frame to provide adaptive thresholds for coding mode selection as well as conditional MV refinement. A corresponding video transcoder system is also provided.

First claim

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What is claimed is: 1. A method of improving efficiency in transcoding a video sequence comprised of input Inter frames, each input Inter frame comprising one or more input macro blocks of pixels encoded in a first format, into a sequence of output Inter frames, each output Inter frame comprising one or more output macro blocks of pixels encoded in a second format, the method comprising: (a) determining a set of candidate coding modes for a macro block of the second format dependi…

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What does patent US9100656B2 cover?
An improved MPEG-4 to H.264 transcoding algorithm is provided, exploiting residual, coding mode and motion vector information from the MPEG-4 stream. The use of the relative sum of absolute residuals (RSAR) to classify macroblocks (MB) leads to small sets of coding modes (CM) to test, and significantly reduces the computational complexity. In addition, RSAR is used to conditionally refine motio…
Who is the assignee on this patent?
Metoevi Isabelle, Coulombe Stephane, Ecole Technologie Superieure
What technology area does this patent fall under?
Primary CPC classification H04N19/521. Mapped technology areas include Electricity.
When was this patent published?
Publication date Tue Aug 04 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).