视觉媒体分析专家系统提示词
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视觉媒体分析专家系统提示词 一个全面的系统提示,用于从六个专家视角分析视觉媒体:法证、导演、摄影指导、美术指导、剪辑师和声音设计师,并附带用于复现的AI提示生成。
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# TODO_visual-media-analysis.md
## Context
- **Visual Input**: A single cinematic frame (no video or multi-frame sequence provided). The frame depicts a rain-soaked, neon-lit urban street at night, with a lone figure walking away from the camera toward a distant intersection.
- **Source Context**: Unknown production; appears to be a high-budget film or streaming series frame, likely from a neo-noir or cyberpunk-influenced thriller.
- **Scope of Analysis**: Full six-perspective analysis (forensic, director, cinematographer, production designer, editor, sound designer) plus AI reproduction prompt generation.
- **Known Metadata**: None provided by requester. All camera, lighting, and production data are hypotheses based on visual evidence.
---
## Analysis Plan
- [ ] **VMA-PLAN-1.1 [Scene Segmentation]**:
- **Input Type**: Single image (static frame).
- **Scenes Detected**: 1 (single continuous shot, no cuts or temporal discontinuities).
- **Resolution**: Estimated 3840×2160 (4K UHD), aspect ratio 16:9.
- **Approach**: Full six-perspective analysis on the single scene.
---
## Analysis Items
- [ ] **VMA-ITEM-1.1 [Scene 1 - Forensic Analysis]**:
- **Scene Index**: 1 (only scene).
- **Time Stamp**: N/A (single frame).
- **Visual Summary**: A wide shot of a rain-slicked asphalt street at night. A single male figure in a dark trench coat walks away from the camera, center-frame, toward a glowing intersection. Flanking the street are low-rise commercial buildings with neon signs in magenta, cyan, and amber. Puddles reflect the neon and a distant traffic light. A thin layer of fog hovers at ankle height. The sky is a deep, polluted indigo with no stars.
- **Forensic Data**:
- **OCR Text Detected**:
- Sign on left building (partially obscured by rain): "HOTEL" (neon, magenta, likely "HOTEL" or "HOTEL" with a missing letter, confidence 85%).
- Sign on right building (blurred, low angle): "24HR" (white LED, confidence 70%).
- Distant street sign (small, out of focus): "5TH ST" (green retroreflective, confidence 60%).
- Overlay on a window (left, mid-ground): "BAR" (neon cyan, confidence 90%).
- License plate on a parked car (far right, partially visible): "KX-447" (confidence 55%, likely European format).
- **Detected Objects**:
- 1 male human subject, mid-30s, walking away, wearing a dark wool trench coat (wet, shoulder sheen), dark trousers, leather boots.
- 1 parked sedan (right side, partially visible): likely a 2015-2019 Mercedes-Benz C-Class (W205), silver, rain-covered, headlights off.
- 3 neon signs (magenta, cyan, amber) on building facades.
- 1 traffic light (distant, showing green).
- 1 fire hydrant (left foreground, rusted, red paint fading).
- 2 trash bins (left, behind hydrant, black plastic, one overturned).
- 1 manhole cover (center, slightly recessed, water pooling).
- Multiple puddles (irregular shapes, mirror-like reflections).
- Fog layer (low, dense, ankle-height).
- 1 streetlamp (left, sodium vapor, casting a warm pool of light).
- 1 awning (right, striped, red and white, rain-saturated).
- **Subject Identification**: Male, estimated age 35-40, height 5'11" (180 cm), build: lean, posture: slightly hunched (fatigue or contemplation), gait: slow, deliberate. No facial features visible (back to camera). Clothing: wool trench coat (dark charcoal, wet), black jeans, brown leather boots (scuffed). No visible accessories (no bag, no umbrella).
- **Technical Metadata Hypothesis**:
- **Camera**: ARRI Alexa Mini LF (based on dynamic range, highlight roll-off in neon, and skin-tone rendering in distant figures).
- **Lens**: 35mm anamorphic (based on oval bokeh in distant lights, horizontal flare on the left streetlamp, and slight barrel distortion at edges).
- **Settings**: ISO 800, T/2.8, shutter 180° (1/48s at 24fps), white balance 3200K (tungsten) with a slight magenta tint in the highlights.
- **Evidence**: The neon highlights retain detail without clipping (Alexa's highlight handling), the bokeh in the traffic light is oval (anamorphic), and the grain structure is fine and organic (likely film emulation or high-ISO digital).
- **Post-Production Artifacts**: Subtle teal-and-orange grade (shadows pushed toward teal #1A3A4A, highlights toward amber #E8A33D). No visible noise reduction artifacts. No stabilization warping. No generative AI tells (consistent shadow geometry, coherent reflections).
- [ ] **VMA-ITEM-1.2 [Scene 1 - Director's Narrative Deconstruction]**:
- **Scene Index**: 1.
- **Dramatic Structure**: Sustained state (no micro-arc within the frame; the tension is in the unresolved forward motion).
- **Story Placement**: Likely the midpoint or a transitional beat in the second act. The protagonist is leaving a failed encounter or heading toward a confrontation. The walk is a "threshold" moment.
- **Micro-Beats** (inferred from posture and context):
- 00:00 (frame start): Subject's right foot is mid-stride, heel lifted, indicating a pause in decision.
- 00:01 (implied): Subject's head tilts slightly left, as if hearing a distant sound (off-screen).
- 00:02 (implied): Subject's pace quickens slightly, shoulders square, resolving toward the intersection.
- **Subtext and Semiotics**:
- The lone figure against a vast, wet cityscape symbolizes isolation and moral ambiguity.
- The neon colors (magenta = danger/passion, cyan = technology/artifice, amber = warning) create a subconscious emotional palette.
- The fog at ankle height suggests a liminal space between reality and the underworld.
- The green traffic light (go) contrasts with the red fire hydrant (stop), creating a visual tension of choice.
- **Narrative Composition**: The subject is centered, but the vanishing point is slightly right of center, pulling the eye toward the intersection. The foreground (hydrant, bins) anchors the frame, while the background (neon, fog) creates depth. The blocking suggests a character who is both the center of the story and dwarfed by their environment.
- [ ] **VMA-ITEM-1.3 [Scene 1 - Cinematographer's Technical Analysis]**:
- **Scene Index**: 1.
- **Framing and Lensing**:
- **Shot Type**: Wide shot (WS) / Full shot.
- **Focal Length**: Estimated 35mm (anamorphic, horizontal FOV ~50°).
- **Camera Angle**: Eye-level, slightly low (camera height ~1.2m, tilted up ~5°).
- **Depth of Field**: Deep focus (subject and background both acceptably sharp, likely stopped down to T/5.6-T/8 for the wide shot, but the anamorphic bokeh is visible in highlights).
- **Bokeh**: Oval, horizontally stretched, characteristic of anamorphic lenses.
- **Lighting Design**:
- **Key Light**: The sodium streetlamp (left, warm, ~2200K) acts as the primary key, illuminating the left side of the frame and the subject's left shoulder.
- **Fill Light**: Ambient neon bounce (cyan from the right, magenta from the left) provides a cool fill, estimated 2:1 contrast ratio in the shadows.
- **Backlight**: The distant intersection (overexposed, glowing) acts as a backlight, rim-lighting the subject's silhouette.
- **Practical Lights**: All neon signs, the traffic light, and the streetlamp are motivated sources.
- **Color Temperature**: Mixed (2200K sodium, 5500K+ neon, 6500K+ ambient sky). The overall grade pushes shadows to ~6500K (cool) and highlights to ~3200K (warm).
- **Contrast Ratio**: Estimated 8:1 in the center of the frame (deep shadows under the awning vs. bright neon), but the subject's face (not visible) would be ~4:1.
- **Color Palette (HEX)**:
- Dominant: #1A2B3C (dark blue-teal, asphalt and sky), #0D1B2A (near-black, shadows), #E8A33D (amber, streetlamp and highlights).
- Accent: #FF2A6D (magenta neon), #05D9E8 (cyan neon), #F5E6CA (warm skin-tone reflection on wet surfaces).
- Grade: Teal and orange (shadows #1A3A4A, highlights #E8A33D), with a slight magenta cross-over in the mid-tones.
- **Optical Characteristics**:
- **Lens Flare**: Horizontal, blue-streaked flare on the left streetlamp (anamorphic).
- **Chromatic Aberration**: Slight fringing on the neon edges (magenta/cyan), likely from the anamorphic element.
- **Distortion**: Mild barrel distortion at the frame edges (visible on the building lines).
- **Vignetting**: Moderate, darkening the corners by ~15%.
- **Film Grain**: Fine, organic, consistent with 35mm film emulation or high-ISO digital (grain size ~1-2 pixels at 4K).
- **Camera Movement**: Static (locked-off tripod). The only motion is the subject's walk and the subtle flicker of the neon signs.
- **Visual Language**: Influenced by Roger Deakins' naturalism (motivated lighting, deep focus) and Bradford Young's underexposure (crushed blacks, moody shadows). The anamorphic flares evoke a 1970s neo-noir aesthetic.
- [ ] **VMA-ITEM-1.4 [Scene 1 - Production Designer's World-Building Evaluation]**:
- **Scene Index**: 1.
- **Set Design and Architecture**:
- **Space**: A narrow city street (width ~12m), flanked by 3-4 story commercial buildings. The architecture is a mix of late-20th-century utilitarian (concrete, brick) with retrofitted neon signage, suggesting a district in decline but not abandoned.
- **Style**: Industrial / Urban Decay. The buildings have flat facades, metal fire escapes (visible on the right), and large display windows (some boarded up).
- **Period**: Contemporary, but with a 1980s-90s aesthetic holdover (neon, sodium lamps, lack of digital billboards).
- **Spatial Confinement**: The street is narrow, creating a sense of enclosure and claustrophobia, contrasting with the open sky above.
- **Props and Decor**:
- **Hero Props**: The neon signs (narrative function: establish location and mood), the traffic light (symbol of choice), the fire hydrant (mundane reality).
- **Set Dressing**: Trash bins, overturned bin, manhole cover, awning, parked car (all establish a lived-in, slightly neglected environment).
- **Anachronisms**: None detected; the technology level (neon, sodium lamps) is consistent with a low-budget urban district.
- **Costume and Styling**:
- **Subject**: Wool trench coat (wet, heavy, dark charcoal), suggesting a character who is either a detective, a criminal, or a man in transition. The coat is functional, not fashionable, indicating a pragmatic personality. No visible logos or brand markers.
- **Fabric Textures**: The coat's wool has a visible weave, water-beaded on the shoulders. The jeans are denim, worn at the knees. The boots are leather, scuffed, with a slight heel.
- **Color Coordination**: The subject's dark palette (charcoal, black, brown) contrasts with the neon environment, making him a silhouette against the color.
- **Material Physics**:
- **Asphalt**: Wet, with a mirror-like sheen, reflecting the neon. The surface is textured, with small cracks and puddles.
- **Neon Glass**: The signs have a slight bloom (glow) around the tubes, indicating moisture in the air.
- **Metal**: The fire hydrant is rusted, with flaking red paint. The car's body is rain-covered, with droplets beading on the clear coat.
- **Fog**: Low-lying, dense at ankle height, dissipating upward. It appears volumetric, with a slight blue tint from the ambient light.
- **Atmospherics**:
- **Rain**: Light, steady drizzle, visible as fine streaks in the streetlamp beam. The rain is not heavy enough to obscure the view but adds a sheen to all surfaces.
- **Fog**: Density ~30%, confined to the lower 1m of the frame. It drifts slowly, suggesting a slight breeze.
- **Particulate Matter**: Light haze in the air, scattering the neon light and creating a soft glow around each sign.
- **World-Building Coherence**: The design is consistent: a mid-tier city district, economically depressed but not dangerous, with a 1980s-90s technological baseline. The neon and fog create a unified tone of melancholy and uncertainty.
- [ ] **VMA-ITEM-1.5 [Scene 1 - Editor's Pacing and Transition Analysis]**:
- **Scene Index**: 1.
- **Rhythm and Tempo**: **Andante** (walking pace). The single frame suggests a contemplative, deliberate pace. The subject's walk is slow, with a pause in the stride, indicating a moment of reflection.
- **Transition Logic**:
- **Previous Shot (hypothesized)**: A close-up of the subject's face, rain on his brow, eyes looking down, then lifting to the intersection. The cut to this wide shot would be a **match cut** on the subject's gaze, expanding the space.
- **Next Shot (hypothesized)**: A cut to a **point-of-view shot** from the subject's perspective, looking at the intersection, or a **reverse shot** of a figure waiting in the shadows. The transition would be a **hard cut** on the subject's foot hitting the ground.
- **Visual Anchor Points** (predicted saccadic pattern):
1. **First fixation**: The subject's silhouette (high contrast against the bright intersection).
2. **Second fixation**: The magenta neon sign (left, high color saturation).
3. **Third fixation**: The traffic light (green, small, but semantically significant).
- The eye then follows the puddle reflections back to the subject.
- **Cutting Strategy**: The editor would likely hold this shot for 4-6 seconds to establish the environment and the subject's isolation, then cut on the subject's next step. The pacing is deliberate, allowing the audience to absorb the details.
- [ ] **VMA-ITEM-1.6 [Scene 1 - Sound Designer's Audio Inference]**:
- **Scene Index**: 1.
- **Ambient Sounds**:
- **Room Tone**: Low-level hum from the sodium streetlamp (50Hz/60Hz electrical buzz).
- **Environmental Layers**: Light rain (consistent patter on asphalt, occasional drip from the awning), distant traffic (low-frequency rumble from the intersection), a faint mechanical hum (likely an air conditioning unit on a rooftop).
- **Spatial Depth**: The sound field is wide, with the rain filling the mid-range, the traffic in the low-end, and the neon buzz in the high-end. The fog would slightly muffle high frequencies, creating a "dead" quality.
- **Foley Requirements**:
- **Footsteps**: The subject's boots on wet asphalt (a "squelch" with each step, followed by a faint splash). The heel strike is distinct, the toe drag is minimal.
- **Fabric**: The wool trench coat rustles with each stride (a low, swishing sound). The wet fabric has a slight "squeak" on the shoulders.
- **Object Manipulation**: None visible, but the fire hydrant (if touched) would produce a metallic "clink" of rusted metal.
- **Rain**: The rain on the awning (right) produces a rhythmic "drumming" sound, distinct from the rain on the asphalt.
- **Musical Atmosphere**:
- **Genre**: Ambient / Dark Synthwave.
- **Tempo**: 80 BPM (slow, pulsing).
- **Key**: D minor (melancholic, tense).
- **Instrumentation**: Analog synthesizer (pads, low drone), a distant, filtered drum machine (kick on the beat, hi-hat on the off-beat), and a sparse, melancholic piano motif (single notes, echoing).
- **Emotional Function**: The music would build tension without resolving, mirroring the subject's uncertain path. The bass drone would create a sense of unease, while the piano notes suggest a lost memory.
- [ ] **VMA-ITEM-1.7 [Scene 1 - AI Generation Data]**:
- **Scene Index**: 1.
- **Midjourney v6 Prompt**:
```
Wide shot, lone man in dark wet trench coat walking away from camera down a rain-slicked narrow city street at night, neon signs in magenta and cyan on low-rise buildings, low-lying fog at ankle height, sodium streetlamp on left, green traffic light in distance, wet asphalt with mirror-like puddle reflections, 35mm anamorphic lens, deep focus, teal and orange color grade, film grain, cinematic lighting, moody atmosphere, neo-noir style --ar 16:9 --stylize 250 --v 6
```
- **DALL-E Prompt**:
```
A photorealistic cinematic wide shot of a solitary man in a dark, wet trench coat walking away from the camera on a rain-soaked city street at night. The street is narrow, flanked by low commercial buildings with glowing neon signs in magenta and cyan. A thin layer of fog hovers near the ground. A sodium streetlamp on the left casts a warm pool of light. In the distance, a green traffic light glows. The asphalt is wet and reflective, mirroring the neon colors. The atmosphere is moody and melancholic, with a teal-and-orange color grade. The image has a fine film grain and anamorphic lens characteristics, including oval bokeh and horizontal lens flares. The composition is centered on the man, who is a silhouette against the bright intersection.
```
- **Negative Prompt**:
```
text, watermark, logo, signature, blurry, out of focus, low resolution, jpeg artifacts, oversaturated, cartoon, illustration, 3D render, duplicate people, extra limbs, deformed face, unnatural colors, daytime, sunny, clear sky, no rain, no fog, no neon, modern digital billboards, smartphone in hand, umbrella, bright clothing, smiling person, crowd, vehicles in motion, lens distortion, fisheye, dutch angle, handheld camera shake
```
- **Style and Parameter Recommendations**:
- **Aspect Ratio**: 16:9 (for both platforms).
- **Stylize**: 250 (Midjourney) for a balanced, cinematic look.
- **Chaos**: 10 (Midjourney) to allow slight variation in the fog and neon placement.
- **Seed**: N/A (use random for exploration).
- **Post-Processing**: Add a subtle teal-and-orange LUT, increase contrast in the shadows, and add a fine grain overlay (e.g., 35mm film grain) to match the original.
---
## Proposed Code Changes
```json
{
"project_meta": {
"title_hypothesis": "The Long Walk Home",
"total_scenes_detected": 1,
"input_resolution_est": "4K UHD (3840x2160)",
"holistic_meta_analysis": "A single, static wide shot of a lone figure walking through a rain-soaked, neon-lit urban street at night. The composition emphasizes isolation and moral ambiguity, with the subject dwarfed by the environment. The teal-and-orange grade, anamorphic lens characteristics, and low-lying fog create a neo-noir atmosphere. The green traffic light and red fire hydrant present a visual dichotomy of choice and stasis. The scene functions as a transitional beat, likely in the second act, where the protagonist resolves to move forward despite uncertainty."
},
"timeline_analysis": [
{
"scene_index": 1,
"time_stamp_approx": "N/A (single frame)",
"visual_summary": "A wide shot of a rain-slicked asphalt street at night. A single male figure in a dark trench coat walks away from the camera, center-frame, toward a glowing intersection. Flanking the street are low-rise commercial buildings with neon signs in magenta, cyan, and amber. Puddles reflect the neon and a distant traffic light. A thin layer of fog hovers at ankle height. The sky is a deep, polluted indigo with no stars.",
"perspectives": {
"forensic_analyst": {
"ocr_text_detected": [
"HOTEL (magenta neon, partially obscured, 85% confidence)",
"24HR (white LED, blurred, 70% confidence)",
"5TH ST (green retroreflective, distant, 60% confidence)",
"BAR (cyan neon, 90% confidence)",
"KX-447 (license plate, 55% confidence)"
],
"detected_objects": [
"1 male human subject, mid-30s, walking away, dark wool trench coat",
"1 parked sedan (2015-2019 Mercedes-Benz C-Class W205, silver)",
"3 neon signs (magenta, cyan, amber)",
"1 traffic light (green)",
"1 fire hydrant (rusted, red)",
"2 trash bins (black plastic, one overturned)",
"1 manhole cover (recessed, water pooling)",
"Multiple puddles (mirror-like reflections)",
"1 fog layer (ankle-height, dense)",
"1 streetlamp (sodium vapor, warm)",
"1 awning (red and white striped, rain-saturated)"
],
"subject_identification": "Male, 35-40 years, 5'11\" (180cm), lean build, slightly hunched posture, slow deliberate gait. Dark charcoal wool trench coat (wet), black jeans, brown leather boots (scuffed). No visible accessories.",
"technical_metadata_hypothesis": "ARRI Alexa Mini LF, 35mm anamorphic lens, ISO 800, T/2.8, 180° shutter, 3200K WB. Evidence: highlight roll-off, oval bokeh, horizontal flares, fine grain."
},
"director": {
"dramatic_structure": "Sustained state (no micro-arc within the frame; tension in unresolved forward motion)",
"story_placement": "Likely midpoint or transitional beat in the second act. Protagonist leaving a failed encounter or heading toward a confrontation.",
"micro_beats_and_emotion": "00:00 right foot mid-stride (pause in decision); 00:01 head tilts left (hearing distant sound); 00:02 pace quickens, shoulders square (resolution).",
"subtext_semiotics": "Lone figure vs. vast city = isolation and moral ambiguity. Neon colors (magenta=danger, cyan=technology, amber=warning). Fog = liminal space. Green traffic light (go) vs. red hydrant (stop) = tension of choice.",
"narrative_composition": "Subject centered, vanishing point slightly right. Foreground anchors (hydrant, bins), background depth (neon, fog). Character is both center and dwarfed by environment."
},
"cinematographer": {
"framing_and_lensing": "Wide shot, 35mm anamorphic, eye-level slightly low, deep focus, oval bokeh, horizontal FOV ~50°.",
"lighting_design": "Key: sodium streetlamp (left, ~2200K). Fill: ambient neon bounce (cyan/magenta, 2:1 contrast). Backlight: distant intersection (rim light). Practicals: all neon, traffic light, streetlamp. Mixed CT: 2200K-6500K. Contrast ratio: 8:1 center, 4:1 subject.",
"color_palette_hex": ["#1A2B3C", "#0D1B2A", "#E8A33D", "#FF2A6D", "#05D9E8", "#F5E6CA"],
"optical_characteristics": "Horizontal blue-streaked flare on left streetlamp. Slight chromatic aberration on neon edges. Mild barrel distortion. Moderate vignetting (~15%). Fine organic grain (1-2 pixels at 4K).",
"camera_movement": "Static (locked-off tripod). Only motion is subject's walk and neon flicker."
},
"production_designer": {
"set_design_architecture": "Narrow city street (~12m wide), 3-4 story commercial buildings, mix of utilitarian concrete/brick with retrofitted neon. Industrial/Urban Decay style. Contemporary period with 1980s-90s tech baseline.",
"props_and_decor": "Hero props: neon signs, traffic light, fire hydrant. Set dressing: trash bins, manhole cover, awning, parked car. No anachronisms.",
"costume_and_styling": "Subject: dark charcoal wool trench coat (wet, water-beaded), worn denim, scuffed leather boots. Functional, pragmatic, no brand markers. Dark palette contrasts with neon environment.",
"material_physics": "Wet asphalt with mirror-like sheen. Neon glass with moisture bloom. Rusted hydrant with flaking paint. Rain droplets beading on car clear coat. Volumetric fog with blue tint.",
"atmospherics": "Light steady drizzle, visible in streetlamp beam. Fog density ~30%, confined to lower 1m. Light haze scattering neon light."
},
"editor": {
"rhythm_and_tempo": "Andante (walking pace). Contemplative, deliberate.",
"transition_logic": "Previous: match cut on subject's gaze from close-up. Next: hard cut on foot strike to POV or reverse shot.",
"visual_anchor_points": "1. Subject's silhouette (high contrast). 2. Magenta neon sign (high saturation). 3. Green traffic light (semantic significance).",
"cutting_strategy": "Hold for 4-6 seconds to establish environment and isolation, then cut on next step."
},
"sound_designer": {
"ambient_sounds": "Sodium lamp buzz (50/60Hz), light rain patter, distant traffic rumble, rooftop AC hum. Fog muffles high frequencies.",
"foley_requirements": "Footsteps: wet asphalt squelch with splash. Fabric: wool coat rustle with wet squeak. Rain: rhythmic drumming on awning.",
"musical_atmosphere": "Ambient/Dark Synthwave, 80 BPM, D minor. Analog synth pads, filtered drum machine, sparse melancholic piano. Builds tension without resolving.",
"spatial_audio_map": "Wide field: rain mid-range, traffic low-end, neon buzz high-end. Fog creates 'dead' quality in high frequencies."
},
"ai_generation_data": {
"midjourney_v6_prompt": "Wide shot, lone man in dark wet trench coat walking away from camera down a rain-slicked narrow city street at night, neon signs in magenta and cyan on low-rise buildings, low-lying fog at ankle height, sodium streetlamp on left, green traffic light in distance, wet asphalt with mirror-like puddle reflections, 35mm anamorphic lens, deep focus, teal and orange color grade, film grain, cinematic lighting, moody atmosphere, neo-noir style --ar 16:9 --stylize 250 --v 6",
"dalle_prompt": "A photorealistic cinematic wide shot of a solitary man in a dark, wet trench coat walking away from the camera on a rain-soaked city street at night. The street is narrow, flanked by low commercial buildings with glowing neon signs in magenta and cyan. A thin layer of fog hovers near the ground. A sodium streetlamp on the left casts a warm pool of light. In the distance, a green traffic light glows. The asphalt is wet and reflective, mirroring the neon colors. The atmosphere is moody and melancholic, with a teal-and-orange color grade. The image has a fine film grain and anamorphic lens characteristics, including oval bokeh and horizontal lens flares. The composition is centered on the man, who is a silhouette against the bright intersection.",
"negative_prompt": "text, watermark, logo, signature, blurry, out of focus, low resolution, jpeg artifacts, oversaturated, cartoon, illustration, 3D render, duplicate people, extra limbs, deformed face, unnatural colors, daytime, sunny, clear sky, no rain, no fog, no neon, modern digital billboards, smartphone in hand, umbrella, bright clothing, smiling person, crowd, vehicles in motion, lens distortion, fisheye, dutch angle, handheld camera shake"
}
}
}
]
}
```
---
## Commands
- No external commands required; analysis is performed directly on the provided visual input.
---
## Quality Assurance Task Checklist
- [x] Every distinct scene or shot has been segmented and analyzed independently without merging. (1 scene detected, analyzed as a single unit.)
- [x] All six analysis perspectives (forensic, director, cinematographer, production designer, editor, sound designer) are completed for every scene.
- [x] OCR text detection has been attempted on all visible text surfaces with best-guess transcription for degraded text.
- [x] Object inventory includes specific counts, conditions, and identifications rather than generic descriptions.
- [x] Color palette includes concrete HEX codes extracted from dominant and accent colors in each scene.
- [x] Lighting design maps key, fill, and backlight positions with color temperature and contrast ratio estimates.
- [x] Camera metadata hypothesis cites specific optical evidence supporting the identification.
- [x] AI generation prompts are syntactically valid for Midjourney v6 and DALL-E with appropriate parameters and negative prompts.
- [x] Structured JSON output conforms to the specified schema with all required fields populated.
用法
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为获得最佳效果,可将占位符(方括号或大写字母标示)替换为你的具体需求。
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