Project proposal eli01: Motion estimation and prediction of smoky video scenes.

streethicksvilleΤεχνίτη Νοημοσύνη και Ρομποτική

24 Νοε 2013 (πριν από 3 χρόνια και 9 μήνες)

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More information on VISL homepage: http://visl.technion.ac.il


Vision Research and Image Sciences Laboratory


http://visl.technion.ac.il


Project proposal eli01
:

Motion estimation and prediction of smoky video scenes.

Supervisor:

Eli Appleboim, Room 608, Tel. 4723, eaea@tx.technion.ac.il


Requirements:
Basic knowledge of image processing, C
\
C++ and MATLAB.


Description:
Motion estimation
and prediction are used extensively in video compression. They enable the
reduction of data elements (bits) needed for the transmission of digital video signals such as digital TV
-
broadcast and cellular video communication.


Suppose images X and Y are two
consecutive frames of a video scene in which an object moves while the
background is fixed. We would like to tell these two images apart as being the same, except that one object
moves in a certain direction and magnitude.

The combination of
direction
and

magnitude
is called
motion vector.


The
main problem
in motion estimation and prediction is how to calculate motion vectors correctly.

The problem becomes more difficult when the scene includes random motion (fog or smoke) or ‘harmonic
-
like’ motion with
small magnitude (leaves of a tree moving due to a light wind).



Main goals:



Gaining knowledge of motion
-
estimation techniques and algorithms.



Getting experience in the implementation of these techniques.


Stages of work:

1.

Study of algorithms used for calcu
lating motion vectors.

2.

Implementing motion estimation and prediction.

3.

Error measurements of the estimation and prediction done in stage 2.

Bibliography:

1.

A.M Tekalp, “Digital Video Processing”, Upper Saddle River.

2.

F. Dufaux and F. Mosheni , “Motion Estimati
on Technics for Digital TV
-

a review”, Proc. IEEE,
Vol. 83 pp.858
-
876.

3.

T. Yashida et.al, “Block Matching Motion Estimation Using Block Integration Based on Reliability
Metric”, 1997 ICIP Vol II pp.152
-
155.

4.

A. Tourapis et.al, “An Advanced Zonal Bloc
k Based Algorithm for Motion Estimation”, 1999 ICIP
Vol II pp.610
-
613.