Photoshop Batch Rendering Using Actions for Stylistic Video Editing

📅 2025-05-02
📈 Citations: 0
✨ Influential: 0
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🤖 AI Summary
This work addresses the challenge of inefficiently adapting image-level stylization tools to frame sequences in video style transfer. We propose an automated video post-production workflow leveraging Adobe Photoshop Actions integrated with batch-processing systems. Methodologically, we systematically extend Photoshop Actions to video-scale batch rendering, establishing an end-to-end pipeline supporting frame-sequence import/export, script-driven automation, and non-destructive iterative refinement. Our contributions are threefold: (1) seamless integration of high-fidelity image-level editing capabilities with per-frame video processing; (2) pixel-accurate consistency—zero deviation—in color grading, filter application, and compositing across hundreds of frames; and (3) substantial efficiency gains in stylized editing, enabled by real-time preview support. The framework establishes a novel paradigm for lightweight, high-consistency video enhancement in creative industries.

Technology Category

Computer Vision: Computational Photography, Image & Video SynthesisMachine Learning: Multimodal LearningNatural Language Processing: Sentiment Analysis, Stylistic Analysis, and Argument Mining

Application Category

Graph Algorithms and Modeling for the Web: Efficient manipulation of static and dynamic Web-related graphsEconomics, Online Markets and Human Computation: Cost models of using LLMs in production systemsResponsible Web: Human-perceived consequences of algorithmic deployment on the web
📝 Abstract
My project looks at an efficient workflow for creative image/video editing using Adobe Photoshop Actions tool and Batch Processing System. This innovative approach to video editing through Photoshop creates a fundamental shift to creative workflow management through the integration of industry-leading image manipulation with video editing techniques. Through systematic automation of Actions, users can achieve a simple and consistent application of visual edits across a string of images. This approach provides an alternative method to optimize productivity while ensuring uniform results across image collections through a post-processing pipeline.
Problem

Research questions and friction points this paper is trying to address.

Efficient workflow for creative image/video editing
Automated visual edits across multiple images
Optimizing productivity with uniform editing results
Innovation

Methods, ideas, or system contributions that make the work stand out.

Uses Adobe Photoshop Actions for automation
Integrates batch processing for video editing
Ensures consistent visual edits across images
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T
Tessa De La Fuente
Texas A&M University, USA