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&subtitle=In this paper%2C we present a toolchain for a comprehensive audio%2Fvideo analysis by leveraging deep learning based multimodal approach. To this end%2C different specific tasks of Speech to Text (S2T)%2C Acoustic Scene Classification (ASC)%2C Acoustic Event Detection (AED)%2C Visual Object Detection (VOD)%2C Image Captioning (IC)%2C and Video Captioning (VC) are conducted and integrated into the toolchain. By combining individual tasks and analyzing both audio %26 visual data extracted from input video%2C the toolchain offers various audio%2Fvideo-based applications: Two general applications of audio%2Fvideo clustering%2C comprehensive audio%2Fvideo summary and a specific application of riot or violent context detection. Furthermore%2C the toolchain presents a flexible and adaptable architecture that is effective to integrate new models for further audio%2Fvideo-based applications.?quality=80&w=800)
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Conclusion
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