dingxingdi Skill: faithful-fine-grained-video-description
1. Capability Definition & Real Case
- Professional Definition: The capability to generate an open-ended video description that is both comprehensive and faithful: it should cover the important dynamic events, subjects, and transitions while avoiding hallucinated actions or unsupported detail.
- Dimension Hierarchy: Multimodal and Generative Interpretation->Open-Ended Video Generation->faithful-fine-grained-video-description
Real Case
[Case 1]
- Initial Environment: A 14-second indoor clip recorded from above. A woman sits near a low floor table beside a bottle and a pair of headphones, repeatedly reaching, lifting, and placing objects while music plays in the room.
- Real Question: Describe the video in detail.
- Real Trajectory: Inspect the clip as an ordered sequence of atomic events, list the major actions without duplicating near-identical submotions, verify subject-object relations across the whole clip, and assemble a paragraph that covers all notable actions without adding unsupported details.
- Real Answer: The woman is sitting on the floor with her legs crossed, wearing a gray shirt and green pants. She is holding a water bottle and a pair of headphones in her hands. The woman then puts on the headphones and starts to exercise. She is using a pair of pink dumbbells to work out her arms and legs. The video is shot from an aerial view, giving us a clear view of the woman's movements.
- Why this demonstrates the capability: This is a generative capability, so success depends on balancing recall and precision over many events. A good answer must mention the important actions and their temporal progression while resisting the temptation to hallucinate extra objects, motives, or unseen events.
Pipeline Execution Instructions
To synthesize data for this capability, you must strictly follow a 3-phase pipeline. Do not hallucinate steps. Read the corresponding reference file for each phase sequentially:
Phase 1: Environment Exploration Read the exploration guidelines to discover raw knowledge seeds:
references/EXPLORATION.mdPhase 2: Trajectory Selection Once Phase 1 is complete, read the selection criteria to evaluate the trajectory:
references/SELECTION.mdPhase 3: Data Synthesis Once a trajectory passes Phase 2, read the synthesis instructions to generate the final data:
references/SYNTHESIS.md