.png){kind=icon}
Return
Novel Rate-Quantization Model-Based Rate Control With Adaptive Initialization for Spatial Scalable Video Coding
.png){kind=icon}
PRE
AI
DOI：10.1109/TIE.2011.2157282.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
A novel spatial-layer rate-control algorithm is proposed for scalable video coding (SVC). First, by analyzing the relationship among the best initial quantization parameter (Q(p)), channel bandwidth, and the initial frames' complexity measure, an adaptive Q(p)-initialization model is introduced to determine the starting Q(p) value for not only the base layer but also the spatial enhancement layers of SVC. Then, a two-stage Q(p)-determination scheme is designed to improve the rate-control performance for the spatial-layer SVC with an efficient frame-complexity prediction method and an adaptive model-parameter update technique employed. Experimental results demonstrate the effectiveness of the proposed Q(p)-initialization scheme and the two-stage Q(p)-determination algorithm. By comparison with two other benchmark rate-control algorithms, the proposed rate-control algorithm is able to control constrained bit rates accurately with better rate-distortion performance.
Keywords:
Initial quantization parameter
rate control
rate-quantization (R-Q) model
scalable video coding (SVC)
spatial scalability
Journal
IF:
7.2
Papers:
1.8W
Citations:
9.8W
Organization
View more organizations
Cited Papers
ShareSave
ShareSaveFactors associated with superior antibody responses to a single dose of Haemophilus influenzae type b-tetanus toxoid conjugate vaccine administered to Chilean infants at 2 months of age.png)
Vaccine
VaccineIF0
PREAI
ShareSaveShareSave
View more