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Department of Computer Science and Engineering, CUHK 1 Final Year Project 2003/2004 LYU0302 PVCAIS – Personal Video Conference Archives Indexing System Supervisor: Prof Michael Lyu Presented by: Lewis Ng, Philip Chan 25 November 2003
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2 Outline Introduction Motivation Architecture of PVCAIS - Media Acquisition Module - Archive Indexing Module - Videoconference Accessing Module Implementation in First Term Future Work Conclusion
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3 Introduction PVCAIS stands for Personal Video Conference Archives Indexing System A system that provides the convenient searching and browsing support for videoconferencing users on past videoconference archives
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4 Introduction What is video conference? A real-time communication technology which combines different media: audio, video, text chat, file transfer, whiteboard and shared communications - More precisely is “multimedia conference”
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5 Motivation – Videoconference is becoming popular in education, business, personal communication – Participants wish to keep videoconference archives for later references – Normal video and audio files are neither searchable nor helpful to recall their contents – Indexing of videoconference archives has not been investigated till now
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6 Architecture of PVCAIS Consists of 3 modules: - Media Acquisition Module - Archive Indexing Module - Videoconference Accessing Module
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7 Architecture of PVCAIS
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8 Media Acquisition Extracts channel data and forms media files Videoconferencing physically contains 4 types of channels: Audio, Video, Data and Control Audio and Video channels: transmit incoming/ outgoing audio and video information Data channel: carries information for user application such as Text Chat, Whiteboard and File Transfer Control channel: transmits system control information such as Member Information
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9 Media Acquisition Video-in and Video-out channel – Reduce redundancy : just store key-frames – Detect scene change in real time – Each key frame picture is stored with a timestamp
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10 Media Acquisition Audio-in and Audio-out channel – mixed into one stream after videoconference – will be used for Speech Recognition Text Chat channel – sender, receiver – message – store with timestamp
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11 Media Acquisition Whiteboard channel – Consists of a text-based index file and a number of snapshot pictures – Index file records timestamp for each whiteboard update event and the path of the corresponding snapshot picture – Update of this channel happens in a period of time -> need to detect when update begins and ends by monitoring data transfer in this channel
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12 Media Acquisition File Transfer channel – Will have a copy of the sent/received files to the directory of archive and an index file – Index file includes sender’s and recipient’s user names and the path of the files Control channel – Contains timestamp and information of each event such as member joined and member left
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13 Media Acquisition Paradigm of storing the videoconference archives. Video_in Video_out Audio_in Audio_out Text_chat Whiteboard File_in File_ out Control Time 0:00:00 One line Two lines One line Two lines Three lines One line Two lines Three lines Four lines One line Two lines Three lines Four lines Five lines i iii Video_in archive Audio archive Text chat archive Whiteboard archive Document archive Control archive Video_out archive
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14 Archive Indexing 7 raw files are extracted in Media Acquisition Module Need to implement some indexing functions to retrieve more information These includes: Face Detection, Face Recognition, Speech Recognition, OCR, Time-based Text Merging, Keyword Selection, Title Generation
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15 Archive Indexing Face Detection - distinguish between Slides and Faces - if face is detected, find out the face region Slide Face
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16 Archive Indexing Face Recognition - Associate human faces in Video-in with name - Need to keep a face base - If no match in the face base, ask remote user to enter the name
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17 Archive Indexing Speech Recognition - Generate speech script from audio archive - Speech of a videoconferencing contains the most information - Can use commercial library: Microsoft SAPI, IBM Via Voice OCR - Take the slide archive as input and recognizes text from them - Need to identify and localize text on the complex background
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18 Archive Indexing Time-based Text Merging - Merge the Speech transcript, Chat script, Whiteboard script and slide text archive to Text source according to their timestamp Keyword Selection - takes the Text source as input - generates keyword for the videoconference
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19 Archive Indexing Title Generation - takes the Text source as input - automatically generates a title for the videoconference Generate XML index file - integrates all the archives - stores all the related files of a videoconference into a single directory
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20 Videoconference Accessing Provides an interface for user to manage, search and review all indexed conference. Allows user to modify the content of a conference, such as editing title or keywords, or delete a conference. Allows user to search for a conference by different criteria, such as member name or keyword. Allows user to review a conference by playing back the audio or the key frames.
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21 Implementation NetMeeting 3.0 – A Windows feature that provide Internet conferencing function. – Support video, audio and data conferencing including application sharing, chat, whiteboard and file transfer. – Other features include remote desktop sharing.
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22 Implementation NetMeeting 3.0 SDK – An extension of NetMeeting, provides an interface for programmers and Web developers to integrate conferencing capabilities into their applications. – API is in the form of COM interfaces and functions.
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23 Implementation A simple NetMeeting compatible videoconference program built on top of the NetMeeting 3.0 SDK. Support: – Video – Audio – Text message – File Transfer – Whiteboard
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24 Implementation By directly using the functions of the API, the following raw data can be obtained: – the members information – file transfer record – text messages record Video, audio and whiteboard data cannot be directly obtained.
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25 Implementation Video – create a thread to check the display of the video windows – if scene change is detected, the video will be captured and stored as a still image. – the stored images are key frames of the conference and will be used for face detection and recognition after the conference.
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26 Implementation Audio – create a thread to record the local audio from the microphone. – when certain amount of audio data is recorded, send the audio data to all members of the conference. – all the received audio files and locally recorded audio files will be combined to generate a single audio file. – the final audio file will be used for voice recognition, the voice engine used is Microsoft SAPI.
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27 Implementation Whiteboard – cannot capture the NetMeeting whiteboard information because the format of the data is not stated in the API. – solution: create our own whiteboard function and data format.
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28 Conclusion We developed a videoconferencing agent All channel data except whiteboard can be collected. Speech Recognition and Face Detection & Recognition is integrated into the system but accuracy needs to be improved Simple searching can be performed on stored archives
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29 Future Work Whiteboard Improve accuracy of Voice Recognition XML Better searching method OCR for slide in video Improve User Interface
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30 Q & A Session
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