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Supervised by Prof. LYU, Rung Tsong Michael Department of Computer Science & Engineering The Chinese University of Hong Kong Prepared by: Chan Pik Wah,

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Presentation on theme: "Supervised by Prof. LYU, Rung Tsong Michael Department of Computer Science & Engineering The Chinese University of Hong Kong Prepared by: Chan Pik Wah,"— Presentation transcript:

1 Supervised by Prof. LYU, Rung Tsong Michael Department of Computer Science & Engineering The Chinese University of Hong Kong Prepared by: Chan Pik Wah, Pat Ngai Cheuk Han, Table LYU0102 XML for Interoperable Digital Video Library

2 Outline Introduction to XVIP Overview of Project Extraction Techniques Face Detection Speech Recognition Multimedia Transformation & Presentation XSL SMIL Transformation Problems & Solutions Conclusion

3 Motivations Rapid increase in the usage of multimedia information New approach: DIGITAL VIDEO LIBRARY Project Outline

4 Motivations Little attention paying on video information extraction and storage Scalability of the system in terms of adding new extraction components Lack of a generic framework for presentation and visualization of video information Project Outline

5 Overview of XVIP Project Outline

6 Achievements in last Semester 2 Extraction Techniques Scene Change VOCR Integrate data into XML XML Editor Knowledge Enrichment Project Outline

7 Achievements in this Semester 2 more extraction techniques Face Detection Speech Recognition New data integrated to XML XML to SMIL Transformer Project Outline

8 Extraction Techniques Video Scene Change VOCD Face Detection Speech Recognition XML

9 Face Detection Object-presence detections are also an important technique. Identify and index features to support image similarity matching. Face detection is a good example Extraction Techniques

10 Face Detection Name of people appearing in the video How they are interacting with the environment More searchable Extraction Techniques

11 Face Detection Neural Network-Based Algorithm The basic algorithm used for face detection Extraction Techniques

12 Face Detection Face Recognition Facial Expression Analysis Enrich the XML Easier for user to search the content of video Extraction Techniques

13 Speech Recognition Speech recognition technology can make any spoken data useful for library indexing and retrieval Extraction Techniques

14 Speech Recognition Engine Extraction Techniques

15 Speech Recognition ViaVoice Error rate > 50% Extraction Techniques

16 Usage of XML XML Indexing & Searching Combine with other XML for Knowledge Enrichment Presentation Exchange data with different application

17 Presentation of the video data XML is not presentable without processing HTML with images, but is static SMIL is good for multimedia presentation No existing tools for integrating different XML data into a SMIL presentation Current transformation language has a lot of limitations in transforming XML to SMIL SMIL

18 SMIL stands for Synchronized Multimedia Integration Language is currently a W3C Recommendation. It is a markup language that can synchronize and integrate multimedia. It enables authors to specify when and what should be presented. RealPlayer, QuickTime, IE support SMIL

19 Advantages SMIL is text-based Easy to develop with a text editor Generate customized presentations Generate customized SMIL file based on preferences recorded in the visitor's browser SMIL effort is led by the W3C W3C tries to shape a specification that is beneficial to all parties involved. Avoid using container formats. SMIL can stream many media formats, no need to merge clips into a single streaming file. SMIL

20 Timing and Synchronization Sequence element: …… Parallel element: … SMIL

21 XSL Stands for “Extensible Stylesheet Language” XSL is the language defined by the W3C to add formatting information to XML data. XSLT -- most commonly used XSL standard Transforms one XML document into another. Used in our FYP. XSL

22 Working Principle Source Tree XSL Stylesheet Output

23 Transformation Process Transformation Input files XML file generated by XVIP XML files of additional information Output files A SMIL file Some RealText files

24 Design 1 Build with VC++ solely Read all the input files, get the information Create the output the files for the SMIL presentation. Transformation Disadvantages Layout of the SMIL presentation need to be hard-coded in the VC++ program. The layout becomes hard to change and the transformer becomes hard to extend.

25 Design 1 with modification Modification Provide an additional file or interface as a template for user to define the layout of SMIL presentation. Disadvantage The flexibility provided is still limited. Not a standard way to define a template. Transformation

26 Design 2 Use XSLT assisting the transformation. User can define his own template with XSL. Advantages Program-independent Extensible Standard templates Transformation Limitations of XSLT It can only read one input data file and one XSL file, then generate one output. It cannot do combin- ation among files.

27 Design 2 Solutions: Knowledge Enrichment Combine additional information with the XML file from XVIP before converting to SMIL Creating output files Use separate XSL files to generate RealText files Use separate XSL files to generate layout of the presentation and displaying order of objects in different regions, then combine them to a SMIL file Transformation

28 Knowledge Enrichment Transformation Combined XML file Information of major cities XML file from XVIP

29 Combined XML file XML file contains information of major cities that are related to the video. 香港 中國南部一個沿海城市 China 紐約 隸屬美國紐約州的城市 America Transformation

30 Create RealText files Geographical Information Biographical Information Video Transcript Transformation

31 Create SMIL file Transformation Layout Displaying order

32 Create SMIL file Transformation SMIL Presentation Combining the temporary files

33 Problems & Solutions Problem 1 The result from XSLT processor is in UTF-8 encoding format, but SMIL needs the format ANSI. Solution: Write a function “UTF8toANSI” for conversion. Problems & Solutions

34 Problem 2 XSLT has limitation. It can only read one XML, one XSL file and generate one output file. Our transformation process has more than one input files Solution: Do knowledge enrichment and produce a combined XML result file before creating the output files. Problems & Solutions

35 Conclusion XVIP contains: Four video information modalities Scene change detection VOCD Speech recognition Face detection Information integration module with XML For storing the extracted video data in XML format Conclusion

36 XML editor For editing the XML file generated Knowledge enrichment component For adding additional information to the XML- based video data XML to SMIL transformer For converting the XML-based video data into SMIL presentation Conclusion

37 XVIP : provides multiple functions for extracting video information stores video information in a flexible and scalable way Comprises a transformer to generate presentation on the information Paper “XVIP: An XML-Based Video Information Processing System”, Michael Lyu, Edward Yau, C.H.Ngai, P.W.Chan, was accepted by COMPSAC 2002. Conclusion

38 Q & A

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