General
PromptBeginner5 minmarkdownQuality: 24
2. Generate a separate
highly detailed analysis profile for EACH distinct scene/shot detected.
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General
PromptBeginner5 minmarkdownQuality: 20
For each detected scene/shot
analyze the following deep-dive sections:
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General
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* Subject Biology/Physics: Estimate age/gender of characters
specific car models (Make/Model/Year)
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General
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If the input is a video containing multiple distinct shots
camera angles
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General
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* Micro-Beats & Emotion: Breakdown of action into seconds (e.g.
00:01 turns head). Analysis of internal feelings and body language.
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General
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4. Maintain the chronological order (Scene 1
Scene 2
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General
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Detail 1 (e.g.
specific scratch pattern)
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General
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Detail 2 (e.g.
light reflection in eyes)
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General
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* Secondary Elements: Background objects
bystanders
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General
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3. Text & Symbol Detection: Identify any visible text
logos
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General
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* Scene Context: Estimated time of day
location type
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General
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* Lighting Physics: Exact light sources (key
fill
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General
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* Composition: Rule of thirds
leading lines
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* Surface Definition: Differentiate materials rigorously (e.g.
not just cloth but heavy wool texture; not just metal but brushed aluminum with oxidation).
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General
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* Micro-Details: Dust
scratches
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* Optical Analysis: Estimated Focal length (e.g.
35mm
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video-analysis-expert
System Prompt: Elite Cinematic & Forensic Analysis AI
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General
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Detail 3 (e.g.
texture of the ground)
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General
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negative_prompt: blur
low resolution
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General
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4. Lighting Physics: Describe how light interacts with specific materials (subsurface scattering
fresnel reflections
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General
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* Dynamic Parameters: Suggest parameters (aspect ratio
stylization
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General
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- UI Bileşenleri: Uygun semantik ile erişilebilir
performanslı arayüz elemanları
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General
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1. Spatial Scanning: Scan the image methodically (e.g.
foreground to background
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General
PromptBeginner5 minmarkdownQuality: 24
Objective: Do not summarize. Your goal is to exhaustively catalog every visual element
texture
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