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AMIDA Video Edit Demo. Presented by: Pavel Zemčík. Faculty of Information Technology, Brno University of Technology, CZ. Overview. Purpose and principle Resources Block diagram View Conclusion. Purpose and Principle.
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AMIDA Video Edit Demo Presented by: Pavel Zemčík Faculty of Information Technology,Brno University of Technology, CZ
Overview • Purpose and principle • Resources • Block diagram • View • Conclusion AMIDA Video Edit Demo
Purpose and Principle • The purpose is to automatically produce single video stream from several (synchronized) audio/video records. • The output can be produced for „full length“ or „reduced“ timing of the meeting (record) • Based on features acquired from the video sequence in real-time or „offline“ and also on other sources of information, such as sound/speech, etc. • The information is processed through a set of rules (implemented in Prolog) and then the decision is made on the best camera/view and possibly effect • The rules include the „technical ones“ and also the ones that lead into „visually appealing“ output AMIDA Video Edit Demo
Resources The resources used as input for decision making include: • Position of heads and hands of participants • Information about the speaker (audio and visual) • Keyword detection input • Scheme of the meeting (type and organization) Future extensions, e.g. • Semantics of the meeting (whom/what we talk about) • Object detection • Emotion and gesture recognition AMIDA Video Edit Demo
Automatic Video Edit Block Diagram AMIDA Video Edit Demo
View of the output AMIDA Video Edit Demo
Conclusions The automatic editing system is feasible: • it can produce visually appealing output • human „touch“ better due to unknown semantics • continuous improvement expected The editing process can be affected by: • change of preferences of „whom/what“ to prefer • choice of topic „focus on the one who uses keywords“ Online and offline versions available (differences in using or not using „future events“ and some simplifications in real-time version, especially in terms of feature extraction). AMIDA Video Edit Demo