Factifi employs a combination of multimodal AI technologies for the validation of video content:
Core Technology Architecture
- Subtitle Priority Analysis: First extract the SRT subtitle file of the video for text analysis with the highest efficiency
- Speech Recognition Alternate Solution: For unsubtitled videos, call ASR (Automatic Speech Recognition) engine to translate audio in real time.
- semantic comprehension layer: Recognize factual statements (e.g., containing specific data, research conclusions, etc.) in translated text through NLP models
Subtitle-less processing program
When encountering an unsubtitled video:
1. Initiate speech-to-text service, which requires an additional 3-5 seconds of processing time
2. The system will optimize the accuracy of recognizing medical, scientific and technological terminology.
3. "Analyzing" status alert next to the player
4. The final result will be marked "based on speech recognition" to indicate the source.
Technical limitations: Strong accents or videos with noisy backgrounds may affect the recognition rate, in which case the user will be advised to refer to the text version of the instructions. Video analysis consumes more system resources than plain text verification.
This answer comes from the articleFactifi: AI-driven real-time web content authentication toolThe
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