1.ABSTRACT:
According
to this article Motion scalability is
designed to improve the coding efficiency of a scalable video coding framework,
especially in the medium to low range of decoding bit rates and spatial resolutions.
In order to fully benefit from the superiority of motion scalability, a
rate-distortion optimized bit stream extractor, which determines the optimal motion quality layer for any
specific decoding scenario, is required. In this paper, the determination
process first starts off with a brute force searching algorithm. Although
guaranteed by the optimal performance within the search domain, it suffers from
high computational complexities. Two properties, i.e., the monotonically non decreasing
property and the unimodal property, are then
derived to accurately describe the rate-distortion behavior of motion
scalability. Based on these two properties, modified searching algorithms are
proposed to reduce the complexity (up to five times faster) and to achieve the
global optimality, even for those decoding scenarios outside the search domain.
2.EXISTING SYSTEM:
A conventional
nonscalable video codec, in which the decoder in an SVCF is restricted to certain
decoding specifications, including different combinations of spatial, temporal,
and quality layers. A video
compression standard called Annex G, to H.264/MPEG-4 AVC with low efficient
motion scalability. A method of lossless coding for the motion information was
adapted and it is inefficient when decoding at lower resolutions.
3.PROPOSED SYSTEM:
A fully scalable motion model was proposed
to solve the motion scalability problem from many aspects, along with tailored encoding
techniques to minimize the coding overhead of scalability.
3.1Scalable Motion
Model :

3.2WSVC Framework :
In this WSVC framework, successive temporal
approximation and referencing (STAR), low band correction (LBC),
and
resolution scalable wavelet difference reduction (RSWDR)
are
adopted for realizing temporal, spatial and quality scalabilities,
respectively.

To determine
the optimal motion quality layer for any specific decoding scenario under a
varying bit rate constrant three
approaches are proposed:
1) Brute Force Method
2) Model-Assisted Method
3) Model-Based Method
The brute force
method exercises an exhaustively searching algorithm among all possible motion
quality layers. The model-assisted method is based on two
properties derived directly from the exponential RD model in the general source
coding theory and from the additive distortion model for motion scalability.
The model-based method aims at improving the approaching speed of a blind
method, such as the bisection method.
The purpose is to
determine the best motion quality layer for
all possible target bit rates, as the decoding spatio-temporal
resolution
is fixed.
4.HARDWARE REQUIREMENTS:
•
System : Pentium IV
2.4 GHz.
•
Hard Disk : 40 GB.
•
Floppy Drive : 1.44 Mb.
•
Monitor : 15 VGA
Colour.
•
Mouse : Logitech.
•
Ram : 256 Mb.
5.SOFTWARE REQUIREMENTS:
•
Operating System : - Windows XP Professional.
•
Front End :
- Asp .Net 2.0.
•
Coding Language : - Visual C# .Net.
No comments:
Post a Comment