Paper Info
Title
Feature-Assisted Threshold Selection For All-Zero Block Detection And Its Application To Video Coding Optimization In H.264
Abstract
All-zero blocks (AZB) denote blocks with all zero DCT coefficients after quantization. Early determination of AZB can avoid unnecessary I)CT/Q/IQ/IDCT computation. Existing techniques in the literature primarily address more efficient thresholds for early determination of AZB. This paper deals with the selection of such thresholds based on low level features including motion activity and texture information. This aspect is then utilized to avoid any: (1) unnecessary quarter accuracy motion estimation, (2) unnecessary multiple reference frame motion estimation, and (3) unnecessary DCT/Q/IQ/IDCT computation. The developed approach has been applied to two different format video sequences CIF and QCIF. The results show that the computational complexity is significantly reduced while the video quality is maintained at a tolerable loss level.
Year
DOI
Venue
2008
10.1117/12.767663
REAL-TIME IMAGE PROCESSING 2008
Keywords
DocType
Volume
all-zero blocks detection, multiple reference frame motion estimation, quarter pixel motion estimation, DCT/Q/IQ/IDCT
Conference
6811
ISSN
Citations 
PageRank 
0277-786X
1
0.35
References 
Authors
0
2
Name
Order
Citations
PageRank
Jianfeng Ren129116.97
Nasser D. Kehtarnavaz253466.02