1. High Resolution Animated
Scenes from Stills

2. AGENDA
• Objective
• System architecture
• Modules And Snapshots
• UML diagrams
• Functional Requirements
• Non-Functional Requirements
• Hardware Requirements
• Software Requirements
• Source Code
• References

3. OBJECTIVE
• A single picture conveys a lot of information
about the scene, but it rarely conveys the scene’s
true dynamic nature.
• A system that allows the user to quickly and
easily produce a compelling-looking animation
from a small collection of high resolution stills.

4. SYSTEM ARCHITECTURE

5. MODULES
• Preprocessing
• Building a Graph
• Motion creation
• Scene making

6. PREPROCESSING
• We first set same pixels for all images.
• Color Enhancement, Improve the image
quality, Size corrections, and noise removal.

8. BUILDING A GRAPH
• Image comparison.
• Algorithm:
Partial Temporal Ordering
• Input:
Unordered stills
• Output:
Ordered, distance computed.

10. MOTION CREATION
• Based on distance, low resolution optical flow is
created between two adjacent images.
• Algorithm:
Markov Chain Model.
• Input:
Stills with no tuning
• Output:
Fine tuned video .

12. SCENE MAKING
• AVI File conversion.
• Input:
Stills
• Output:
Converted Video

14. UML DIAGRAMS
• UseCase diagram
• Class diagram
• Activity diagram
• Sequence diagram

15. USECASE DIAGRAM
Import Stills
Build Graph
Create motion
Fine tuning
Scene Making
Converted file
Database
Uses
Uses
Uses
Uses
Extends

16. ACTIVITY
DIAGRAM
User Interaction
Preprocessing
Enhancement
Quality Improvement
If Noise
Build Graph
If Unordered Perform Ordering
Make Graph
Motion Creation
Fine Tuning
Scene Making
Yes
No
Yes
No

17. SEQUENCE
DIAGRAM
User Image Process Database
1 : Related Images()
2 : Preprocessing()
3 : Build graph()
4 : Motion creation()
5 : Fine tuning()
6 : Scene making()
7 : Movie File()
8 : Converted File()

18. CLASS DIAGRAM
User Interaction
Preprocessing
+Enhancement()
Building graph
+Ordering()
Motion Creation
+finetuning()
+timefrequency()
Making scenes
+fileconversion()
Image processing
+insert()

19. FUNCTIONAL REQUIREMENTS
• Color Enhancement - Improve the Contrast &
Brightness, Improve the quality based on the
saturation Adjustment.
• Ordering- Calculate the Difference between the two
images based on the pixel difference and order the
stills.
• File Conversion- Based on distance low resolution
optical flow is created between two adjacent images
and the file is converted to AVI format.

20. NON-FUNCTIONAL REQUIREMENTS
A non-functional requirement is a requirement
that specifies criteria that can be used to judge the
operation of a system, rather than specific behaviors.
• Usability- This property reflects how easy it is to use
the system. It depends on the technical system
components, its operators and its operating
environment.
• Repairability- This property reflects how easy it is to
fix a problem once it has been discovered.

21. HARDWARE REQUIREMENTS
• System : Pentium III 700 MHz
• Hard disk : 40 GB
• Monitor : 15 VGA colour
• Mouse : Logitech.
• RAM : 128 MB
• Keyboard : 110 keys enhanced

22. SOFTWARE REQUIREMENTS
• Operating system : Windows XP
• Front End : Microsoft Visual Studio .NET
• Coding Language : Visual C# .NET

23. SOURCE CODE
• using System;
• using System.Drawing;
• using System.Drawing.Imaging;
• using System.Collections;
• using System.ComponentModel;
• using System.Windows.Forms;
• using WeifenLuo.WinFormsUI;
•
• using ImageLib.Math;
• using ImageLib.Imaging;
•
• namespace StilltoMovie
• {
• public class FourierDoc : Content
• {
• private ComplexImage image = null;
• private ComplexImage backup = null;
• private System.Drawing.Bitmap bitmap = null;
• private int width;
• private int height;
• private IDocumentsHost host = null;
•

24. REFERENCES
[1] S. Soatto, G. Doretto, and Y.N. Wu, “Dynamic Textures,” Proc. Int’l Conf. Computer Vision, pp. 439-446,
2001.
[2] R. Sedgewick, Algorithms in C++, Part 5: Graph Algorithms. Pearson Education North Asia Limited, 2002.
[3] K.S. Bhat, S.M. Seitz, J.K. Hodgins, and P.K. Khosla, “Flow-Based Video Synthesis and Editing,” ACM Trans.
Graphics, vol. 23, no. 3, pp. 360-363, 2004.
[4] A. Agarwala, K.C. Zheng, C. Pal, M. Agrawala, M. Cohen, B. Curless, D. Salesin, and R. Szeliski, “Panoramic
Video Textures,” ACM Trans. Graphics, vol. 24, no. 3, pp. 821-827, 2005.
[5] Y.-Y. Chuang et al. “Animating Pictures with Stochastic Motion Textures,” ACM Trans. Graphics, vol. 24, no.
3, pp. 853-860, 2005.

25. Queries?