Multimodal integration scheme for wdoc
wdoc innovatively realizes semantic alignment processing of multiple media content. Its core processing pipeline consists of transcribing audio content via Whisper, extracting text from scanned PDFs using OCR technology, and synchronizing the analysis of subtitles and screen text for YouTube videos. Key technology breakthroughs include:
- Unified representation space: different media content mapped to the same semantic dimension
- Timestamp alignment: video/audio content maintains original timing information
- Cross-modal search: supports composite queries such as "find all video clips that discuss a concept".
In education applications, the system automatically establishes knowledge associations among lecture videos, courseware PDFs and reference webpage content, so that students can retrieve three-dimensional learning materials and improve their understanding efficiency by 57%. Continuous ffmpeg integration optimization enables video processing speed to reach the real-time level.
This answer comes from the articlewdoc: retrieve content and summarize knowledge from massive, multi-source documentsThe
