Paper Info
Title
Improved refinement search for H.263 to H.264/AVC transcoding based on the minimum cost tendency search
Abstract
An improved refinement search method for transcoding from H.263 to H.264/AVC is proposed in this paper. Many existing motion re-estimation methods refine the input motion vector (MV) with a small search range, which is usually input MV biased. Motion estimation (ME) in H.263 usually does not consider the rate required for coding the MV, and hence, the input MV may incur a large cost in H.264/AVC. To overcome this problem, we introduce a refinement search method, called minimum cost tendency search (MCTS), which takes the difference between the cost functions for ME in H.263 and H.264/AVC into consideration. The input MV and the predictor MV are used as two anchor points. The proposed MCTS starts searching from the anchor point with a higher cost to another. Finally, the best point is chosen as the center for further refinement. The performance of MCTS is evaluated by comparing with full search, FME in JM software and refinement scheme using small diamond pattern around the input MV (RSD). Experimental results show the proposed MCTS performs more stable than FME and RSD over a wide range of output video quality
Year
DOI
Venue
2006
10.1109/ISCAS.2006.1693823
ISCAS
Keywords
Field
DocType
video quality,fme,h.264 video coding,search problems,motion estimation,computational complexity,minimum cost tendency search,video coding,avc transcoding,transcoding,refinement search,rsd,h.263 video coding,gold,decoding,cost function,software performance
Transcoding,Computer science,Control theory,Algorithm,Coding (social sciences),Real-time computing,Software,Motion analysis,Motion estimation,Video quality,Motion vector,Computational complexity theory
Conference
ISSN
ISBN
Citations 
0271-4302
0-7803-9389-9
0
PageRank 
References 
Authors
0.34
5
5
Name
Order
Citations
PageRank
Chi-wang Ho1577.35
Oscar C. Au21592176.54
S.-H. Gary Chan31462110.98
Hoi-ming Wong4688.76
Shu-kei Yip5607.43