Achieving Color Consistency in Commercial Shoots: A DaVinci Resolve Workflow for Matching Discrepant Footage
Matt Mahoney
Summary:
This video demonstrates a methodical approach to achieve color consistency across commercial shots in DaVinci Resolve, especially when on-set changes lead to discrepancies.
- The first wide shot is graded to establish a "moody" look, adjusting exposure, white balance, and isolating the subject with power windows.
- Skin tones are verified using scopes to ensure accuracy.
- The established grade is then applied to a second, close-up shot, revealing significant differences in contrast ratio and temperature due to on-set lens and diffusion changes.
- The close-up is meticulously matched to the wide shot by adjusting exposure, white balance, and saturation, focusing on making skin tones and overall ambience consistent.
- Cosmetic refinements like digital diffusion, skin smoothing, and eye brightening are applied to the actor's face for a polished look.
- The video emphasizes understanding on-set discrepancies (lens, diffusion changes) to inform grading decisions, using tools like the Odyssey spot for technical analysis, and maintaining a pleasing key-to-fill ratio for continuity while accepting inherent differences between wide and close-up lighting.
Initial Shot Assessment and Mood Setting [0:00]
The video begins by introducing two commercial shots of a woman using a laptop, which will be color graded for consistency.
- The goal is to achieve a "moody" aesthetic, suitable for a tech company commercial.
- The footage is first converted to Rec. 709.
- First shot (wide) is analyzed and graded:
- Initial exposure is adjusted by slightly darkening the image [0:51].
- White balance is set for a film emulation look, introducing subtle blues [0:58].
- Ambience is further reduced using a large circular power window to draw focus to the subject [1:32].
- The result of the power window application helps to focus attention on the subject [1:54].
- Shadows are slightly lifted to refine the overall look [2:24].
- Skin tone analysis:
- The skin tone is checked using DaVinci Resolve's scopes and is found to be accurate [2:06].
Identifying and Explaining Inconsistencies [2:34]
After applying the first shot's grade to the second (close-up) shot, significant inconsistencies are immediately visible.
- Visual comparison:
- The close-up shot initially appears noticeably darker and warmer than the wide shot, even after applying the same grade [2:36].
- A side-by-side comparison of the two shots reveals clear differences in contrast, temperature, and overall exposure [2:47].
- Causes of discrepancy:
- These inconsistencies are attributed to standard on-set practices in cinematography and gaffing.
- Lens changes: Swapping lenses for different shot types (wide vs. close-up) can introduce variations [3:21].
- Diffusion changes: Using thicker diffusion for close-ups to flatter the actor can reduce key-side intensity and cause a temperature shift [3:24].
- Cinematographers often light wide shots with higher contrast to shape the scene, while close-ups aim for a softer, more flattering look on the actor [10:30].
Matching the Second Shot to the First [4:10]
The process involves adjusting the close-up shot to visually match the mood and characteristics of the wide shot, maintaining continuity.
- Exposure adjustment:
- Scopes are used to compare the exposure levels between the two shots, showing the close-up (left) is significantly underexposed [4:17].
- Exposure is increased on the close-up to align it with the wide shot [4:42].
- White balance correction:
- The close-up shows additional warmth, likely from the thicker diffusion used on set.
- White balance is adjusted slightly towards yellow to counteract this warmth and bring skin tones closer to the reference [4:54].
- Color saturation refinement:
- Subtle adjustments are made to yellow and red saturation to further unify the skin tones [5:12].
- Dark level adjustment:
- The darks in the close-up are adjusted to match the wide shot more closely [5:26].
Cosmetic Adjustments and Digital Refinements [5:40]
Further enhancements are made to the actor's appearance to ensure a polished final look.
- Digital diffusion:
- A "satin" diffusion effect is added to both shots digitally to enhance softness [5:40].
- Face refinement tool:
- DaVinci Resolve's face refinement tool is used for detailed cosmetic work on the actor's face [6:03].
- Skin smoothing: A subtle amount of skin smoothing is applied to soften the texture [6:19].
- Eye brightening: The eyes are slightly brightened to make them stand out [6:50].
- Undereye softening: Undereye areas are softened to reduce any harshness [7:08].
- Grain addition: Digital grain is added back to the skin to hide the smoothing and restore natural texture [7:37].
- These cosmetic changes are copied and applied to the corresponding parts of the wide shot for consistency [8:19].
Final Touches and Key Learnings [8:32]
The final steps involve unifying the overall color balance and reinforcing the importance of being aware of on-set production choices.
- Midtone coolness:
- A touch of coolness is added to the midtones in both shots to remove residual yellow from the skin [8:34].
- Contrast refinement:
- A slight contrast adjustment is applied within the circular power window [9:03].
- Overall consistency achieved:
- The two shots are now much closer in appearance, creating a seamless viewing experience [9:09].
- Understanding on-set decisions:
- Colorists should be aware of cinematographers' and gaffers' choices (lens changes, diffusion) as these introduce color and exposure shifts [9:14].
- This awareness informs grading decisions, helping to match shots that were captured differently while respecting the original intent [9:45].
- Using measurement tools:
- Tools like the "Odyssey spot" in DaVinci Resolve can provide technical readouts of exposure differences between selected points in a frame, aiding in precise matching [9:57].
- Key to fill ratio:
- It's important to pay attention to the key-to-fill ratio as it often changes from wide to close-up shots; close-ups typically have a softer, less contrasted look for flattering subjects [11:01]. The casual viewer won't notice these technical differences as long as the overall "feel" of the images is consistent [11:35].