Designing with Cinematic Language: An Intent-Driven Approach to Human-AI Video Clip Co-Creation
3.80T1 sourcearXiv cs.MA
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2611.07377.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryCineAssist connects creators’ narrative intentions with executable cinematic controls through a multi-agent workflow, interactive editor, and preference learner. Its design space and dataset derive from 107 filmmaking sources and 1,436 annotated clips. Three studies assess usability, cinematic quality, and how user preferences evolve.
Why it mattersA concrete account of translating abstract intent into camera and editing decisions, supported by an annotated corpus and user studies, offers reusable workflow patterns for agent-assisted creative production.
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