3. Presentation Outline  Project Aims  Introduction of Digital Video Library  Introduction of Our Work  Considerations and Approach  Design and Implementation  Future Plans

4. Project Aims  Learn different issues about DVL  existing such as Informedia(TM) done by CMU  Implement a small-scale model  Client interface for playback of media  Process data source/user queries in Chinese  Web Integration

5. Introduction of Digital Video Library  Functions of a DVL  Why Digital Video Library?  Issues about DVL  Techniques Addressing DVL Issues

6. Functions of a DVL  Storage and play back of video resources  Online access of video resources  Search of useful information through the vast data collections  Retrieval of the most relevant selections

7. Why Digital Video Library?  Digital data  easy to process in an automated way  takes advantage of the Internet  Multimedia content  more attractive  for education, training, sports and entertainment  Library management  An organized way of retrieval media contents

8. Issues about DVL  Building Video Databases  Indexing the Video Contents  Breaking the Video into Segments  Retrieving Video

9. Building Video Database  Extremely large space requirement  Choosing a video format  Online access of video resources

10. Indexing the Video Contents  Inaccessibility of information in video  Limitation of text-base descriptions  Tedious manual process  Cinematic information is complex to describe

11. Breaking the Video into Segments  Video paragraphing  Alternate representation of video  Text tile  Text abstract  Full-text transcript  Representative single image  “Skim” video

12. Retrieving Video  Three principle for searching  Let user to skim the video object quickly with their interest  Adjust the size of video  Identify of desired video among multiple returned results  Ways to achieve  Small size of video returned  Information visualization

14. Overview of Digital Video Library System

15. Techniques Addressing DVL Issues  Speech Analysis  Speech recognition technology generates transcript  Pauses and silence in audio help paragraphing  Image Analysis  Detect significant changes in weighted color histogram  Interpret camera motion  Natural Language Processing  Query processing  Retrieval

17. Our Work  Focus and Target  Programming Environment  Design and Implementation  System Consideration  System Design  System Implementation  Future Plans

18. Focus and Target  Divide the project into modules that can be implemented in stages  digital video preparation  video playback  user query  web-integration

19. Programming Environment  Platform  Java as programming language  JMF API to present time-base media

20. Why use Java?  Platform independence  Network ready  International appeal  Easy to build GUI  JMF API for video playback  Disadvantages?

21. Presenting Time-Base Media with JMF  What is JMF?  Java Media Framework Application Programming Interface  Incorporating media data into Java  The high level architecture  Similar to traditional VCR  Data Source  Pull data-source and Push data-source  Media Presentation  Programmed or Interactive controls

22. Design and Implementation  System Consideration  System Design  System Implementation

23. System Consideration  User Perspective  User friendly  Other system component are transparent  Server Program  Robust, reliable  Network Issue  Video Collections

24. System Design

25. System Implementation  Library Preparation  Server Program  Client Program

27. Future Plans  Java-applet Client Program  Semi-auto Timestamp Editing Tools  Searching and Indexing Capability  Other Possible Extensions  Automatically derived transcripts  Language processing of queries and transcripts  Content-based Image Manipulation