Technical Architecture of the Intelligent Material Engine
Jupitrr has built an industry-leading multimodal material matching system, whose database integrates Getty Images professional copyright library, CC0 protocol network material and dynamic GIF resources. When the AI analyzes the video and voice content, it will simultaneously extract keywords, emotional tendencies and other metadata, and through cross-modal Embedding technology to retrieve the most matching B-roll in real time from the massive amount of material. the system especially adds a 'visual rhythm adaptation algorithm', which automatically adjusts the switching frequency of material according to the voice pause. Actual tests show that the system's material matching accuracy is 32% higher than the industry average, and it supports content comprehension in 50+ languages, ensuring the localized creation needs of global users.
This answer comes from the articleJupitrr: the AI tool that turns voice-over videos into popular short videosThe
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