1. Support Vector Machine based Logo Detection in Broadcast Soccer Videos Hossam M. Zawbaa Cairo University, Faculty of Computers and Information; ABO Research Laboratory; Cairo, Egypt e-mail: hossam.zawba3a@gmail.com Nashwa El-Bendary Arab Academy for Science, Technology, and Maritime Transport; ABO Research Laboratory; Cairo, Egypt e-mail: nashwa m@aast.edu Aboul Ella Hassanien Cairo University, Faculty of Computers and Information; ABO Research Laboratory; Cairo, Egypt e-mail: aboitcairo@gmail.com Sang-Soo Yeo Division of Computer Engineering, Mokwon University; Korea e-mail: sangsooyeo@gmail.com Gerald Schaefer Department of Computer Science, Loughborough University; U.K. e-mail: gerald.schaefer@ieee.org By

2. Agenda 1- Introduction 2- The Proposed System 3- Dominant Color 4- Shot-boundary detection 5- Shot-type Classification 6- Replay detection 7- Results 8- Conclusions and Future works 2

3. Agenda 1- Introduction 2- Proposed System 3- Dominant Color 4- Shot-boundary detection 5- Shot-type Classification 6- Replay detection 7- Results 8- Conclusions and Future works 3

4. Sports Around The World Sports, especially soccer, attract many people. In the past, people were watching their local league. Now with the evolution of communications (Satellite, Internet … etc) they can watch more than one league at the same time. 4

5. Agenda 1- Introduction 2- The Proposed System 3- Dominant Color 4- Shot-boundary detection 5- Shot-type Classification 6- Replay detection 7- Results 8- Conclusions and Future works 5

6. The Proposed System 6

7. Agenda 1- Introduction 2- Proposed System 3- Dominant Color 4- Shot-boundary detection 5- Shot-type Classification 6- Replay detection 7- Results 8- Conclusions and Future works 7

8. What is meant by Dominant Color? The dominant color is the color that is filling most of the given area, and it is different between various fields. The field of any sport must contain a unique dominant color, which can be used to differentiate among various sports by detecting their field. 8

9. Different Dominant Color Fields 9

10. Agenda 1- Introduction 2- Proposed System 3- Dominant Color 4- Shot-boundary detection 5- Shot-type Classification 6- Replay detection 7- Results 8- Conclusions and Future works 10

11. What is meant by Shot ? Separated view comes from multiple cameras views that are positioned at different locations along the pitch. 11 Camera 1

12. Correlation Between Frames The correlation between frames in the same shot is a very important indicator to detect the similarity between them. When there is noticeable change we can conclude the starting of new shot. 12

13. Shot-boundary detection algorithm For the proposed system, three features have been used for shot-boundary detection in sports video: The difference in color histogram similarity. The motion difference. Macro blocks change. 13

14. Instant Transition (cut) 14 New shot

15. Gradual Transition 15 Comparing a range of placement values instead of one placement value in the given frames. New shot

16. Agenda 1- Introduction 2- Proposed System 3- Dominant Color 4- Shot-boundary detection 5- Shot-type Classification 6- Replay detection 7- Results 8- Conclusions and Future works 16

17. Shot Classification Different shot types: Long shot: A long shot displays the global view of the field; long shots almost always display some part of the stadium. Medium (In-field) shot: A medium shot, where a whole human body is usually visible, is a zoomed-in view of a specific part of the field. Close-up Shot: A close-up shot usually shows the above- waist view of a player or referee. Audience (Out-of-field) Shot: The audience, coach, and other shots are denoted as out-of-field shots. 17

18. Shot Classification using Grass Ratio 18

19. Play / Break 19

20. Agenda 1- Introduction 2- Proposed System 3- Dominant Color 4- Shot-boundary detection 5- Shot-type Classification 6- Replay detection 7- Results 8- Conclusions and Future works 20

21. Importance of Replay Detection Replay Detection SummarizationCinematic Features 21 Replay is a video editing way, and it is often used to emphasize an important segment. Replay segments are good indicators for exciting events in any sport video.

22. Logo Based Replay Logo frame contains a large contrast object and is usually animated within 10-20 frames with a general pattern of “smallest–biggest–smallest”. 22

23. Logo detection Algorithm 23

24. Agenda 1- Introduction 2- Proposed System 3- Dominant Color 4- Shot-boundary detection 5- Shot-type Classification 6- Replay detection 7- Results 8- Conclusions and Future works 24

25. Results 25 The proposed system was evaluated using videos for soccer matches of five international soccer championships. The proposed system performs very well as its analysis results achieve high accuracy. Experiments show that the system has attained very high precision and reasonable recall ratios.

26. Results 26

27. Results 27

28. Agenda 1- Introduction 2- Proposed System 3- Dominant Color 4- Shot-boundary detection 5- Shot-type Classification 6- Replay detection 7- Results 8- Conclusions and Future works 28

29. Conclusions We introduced the effectiveness and the efficiency of all applied methods in our proposed system such as : 1-Dominant Color Detection. 2-Shot-boundary detection. 3-Shot-type classification. 4-Replay detection. The proposed system was evaluated on a variety of soccer matches and demonstrated that it is capable of achieving good performance characterized by high recall and precision against a manually defined ground truth. 29

30. Future works Increasing the number of soccer videos and championships being examined. Apply different machine learning approaches to differentiate events from one championship to another. Moreover, additional phases may be added in order to extend the proposed system for generating a summarized version soccer videos and highlighting the most important events during the match. 30

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