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LYU 0102 : XML for Interoperable Digital Video Library

LYU 0102 : XML for Interoperable Digital Video Library. Recent years, rapid increase in the usage of multimedia information, New approach: DIGITAL VIDEO LIBRARY Automated video and audio indexing Navigation, visualization Search and retrieval Video segmentation and summarization.

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LYU 0102 : XML for Interoperable Digital Video Library

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  1. LYU 0102 : XML for Interoperable Digital Video Library • Recent years, rapid increase in the usage of multimedia information, • New approach: DIGITAL VIDEO LIBRARY • Automated video and audio indexing • Navigation, visualization • Search and retrieval • Video segmentation and summarization

  2. Video Information • Integration of speech , language, and image processing • Text processing • Audio processing • Image processing • Video processing

  3. Digital Video Library System Overview

  4. Techniques to segment data

  5. Techniques we may apply • VOCD • Scene changes • Text processing • Face detection • Storage as XML

  6. Techniques to be discussed • VOCR • Scene changes • Storage and editing with XML

  7. Video OCR for Digital News

  8. Detection of Text Region • Video news program comprises huge numbers of frames • Roughly detect text region • Increase processing speed • Reduce processing cost

  9. Detection of Text Region • Typical text region can be characterized as a horizontal rectangular structure • With clustered sharp edges • Regions of high contrast against the background

  10. Image Enhancement • Sub-pixel Interpolation: • To magnify the text area • To increase the resolution of caption • Multi-frame Integration: • Video motion of non-caption areas, caption relatively stable • To reduce the variability on background

  11. Character Segmentation • Vertical project profile • Character segmentation

  12. Character Recognition • Binarize the character image with threshold • Filter the binary image with morphological filter • Filter the character image with connected component filter

  13. Post-Processing • Further improve the recognition rate • Using the words of dictionary to refine the character • Integrate the recognition result of multiple frames

  14. Scene change • detection technique • effective method for segmenting a video sequence into significant components

  15. Existing Method • Image difference method • Histogram Difference Method • Histogram Difference Method using DC Coefficient Image • Our Method • histogram difference method with a dynamic threshold

  16. Scene change • grasp scene from the video for every 0.05 second • grasped scenes are 24-bit image, 8 bits for each color (red R, green G, blue B) • check each pixel with the most 2 significant bits • classify them into 64 different classes • build a color histogram

  17. Scene change • Compared the histogram with the pervious scene • For each column of the histogram, calculate the difference • Sum all the difference • If (total difference) > threshold => scene change • Use the first frame as key frame

  18. XML • Extensible Markup Language • Create its own mark-up language for describing the contents • Look like a big database

  19. Advantages of using XML • Platform and system independent • Create your own tag • Adopt Unicode • Universal format • Easy to search

  20. Design schema • Starts with choosing a vocabulary • Words and phrases that are able to describe extracted video information content and therefore can be used as tag name • Show relationship between vocabulary entries

  21. XML Parser • A parser is a interface between an XML document and the application program • Document Object Model (DOM)

  22. How to present XML • Tree model becomes very similar to an XML schema • Represented as nodes that show element/attribute names or the text content and their relative places within the XML

  23. OUR TOOL

  24. OUR TOOL

  25. OUR TOOL

  26. OUR TOOL

  27. COMING • EXTRACT SECONDARY INFORMATION

  28. THE END

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