A supervised neural constant bit rate video controller for MPEG2 encoders

Author(s):  
F.C.C. De Castro ◽  
M.C.F. De Castro ◽  
D.S. Arantes
2011 ◽  
pp. 233-245
Author(s):  
Constantinos Mourlas

One way to implement adaptive software is to allocate resources dynamically during run-time rather than statically at design time. Design of adaptive software and adaptive execution of processes are key factors that improve versatility of software and decrease maintenance costs. In this chapter we study the development of adaptive software focusing on a design strategy for the implementation of parallel media servers with an adaptable behaviour. This strategy makes the timing properties and the quality of presentation of a set of media streams predictable. The proposed adaptive scheduling approach exploits the performance of parallel environments and seems a promising method that brings the advantages of parallel computation in media servers. The proposed mechanism provides deterministic service for both Constant Bit Rate (CBR) and Variable Bit Rate (VBR) streams. We present an efficient placement strategy for data frames as well as an adaptability strategy that allows appropriate frames to be dropped without sacrificing the ability to present multimedia applications predictably in time.


1996 ◽  
Vol 4 (2) ◽  
pp. 87-98 ◽  
Author(s):  
Mengjou Lin ◽  
David Singer ◽  
Alagu Periyannan

2010 ◽  
Vol 26 (1) ◽  
pp. 128-134 ◽  
Author(s):  
Stephen Kershaw ◽  
Richard Hughes-Jones

1996 ◽  
Author(s):  
Tom A. Opperud ◽  
P. Zouganeli ◽  
K. Boehle ◽  
I. Nyberg

2012 ◽  
Vol 14 (6) ◽  
pp. 583-595 ◽  
Author(s):  
Juan Jimenez ◽  
Rafael Estepa ◽  
Antonio Estepa ◽  
Francisco R. Rubio ◽  
Fabio Gómez-Estern

2013 ◽  
Vol 333-335 ◽  
pp. 783-786
Author(s):  
Shu Qian He ◽  
Chun Shi ◽  
Zheng Jie Deng

In this paper, we describe our rate distortion optimization framework for H.264/AVC standard. We investigate that the R-D characteristics of H.264 video signal in traditional transform-based video coding systems should be modeled for the Texture and Header components separately. Based on the proposed model, a R-D cost estimation function is also proposed to give a more accurate R-Q model. Built upon the above ideas, a rate control (RC) algorithm is developed for the H.264 encoder under the constant bit rate constraint. It is shown by experimental results that the new scheme can achieve better results in control bit rate and R-D performance compared to previously proposed approaches.


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