Title
Motion Vector Estimation And Adatptive Refinement For The Mpeg-4 To H.264/Av'C Video Transcoder
Abstract
This paper proposes an efficient motion vector estimation and adaptive refinement method for the MPEG4 to H.264/AVC video transcoder. MPEG4 has one or four motion vectors for each 16X16 block in inter mode, while H.264/AVC has variable block sizes ranging from 4X4 to 16X16 in inter mode in order to improve the rate-distortion (R-D) performance. The proposed method is to estimate motion vectors for various-size blocks of H.264/AVC, which exploits the decoded motion vectors of MPEG-4 for the spatial- and temporal-resolution reduction of the video transcoding. A motion vector refinement process is performed with the adaptive refinement search range determined by the directional information of the estimated motion vectors. Experimental results show that the proposed method achieves an improved R-D performance and is computationally efficient.
Year
DOI
Venue
2006
10.1109/APCCAS.2006.342456
2006 IEEE ASIA PACIFIC CONFERENCE ON CIRCUITS AND SYSTEMS
Keywords
Field
DocType
H.2641AVC, motion estimation, refinement, transcoder
Transcoding,Computer vision,Block-matching algorithm,Quarter-pixel motion,Computer science,Motion compensation,Ranging,Artificial intelligence,Motion estimation,MPEG-4,Motion vector
Conference
Citations 
PageRank 
References 
0
0.34
6
Authors
2
Name
Order
Citations
PageRank
Seung-Kyun Oh1564.24
HyunWook Park248246.97