How to Search for Objects or People in Videos
Learn how Cutsio's Visual Intelligence uses computer vision to allow you to instantly search massive video archives for specific objects, faces, and visual actions without manual tagging.
Why is finding specific visual elements difficult in video?
Finding specific visual elements is difficult because traditional storage systems only read text metadata, ignoring the actual pixels that make up the video's content.
If you need a shot of a 'red sports car' in a massive video archive, a traditional cloud drive is useless unless an assistant manually typed those keywords into the file's metadata. Video files are inherently opaque to standard search engines. This creates a bottleneck for documentary filmmakers, news organizations, and stock footage libraries. Editors are forced to manually open dozens of generically named files and scrub through them, hoping to find the correct shot. This reliance on human logging is slow, subjective, and prone to missing crucial footage.
How does computer vision identify objects in video?
Computer vision algorithms analyze video frame-by-frame, using deep learning models to recognize and automatically tag thousands of distinct objects, environments, and actions without manual input.
When raw footage is processed by an AI engine, the software analyzes the pixels of every frame. Using neural networks trained on millions of images, the AI identifies a 'coffee cup,' a 'busy street,' a 'golden retriever,' and crucially, actions like 'running' or 'shaking hands' and environments like 'office' or 'beach.' This metadata is generated automatically and tied to specific timecodes. An editor types 'golden retriever' into the search bar and the system instantly surfaces every clip containing that dog.
How does Cutsio's Visual Intelligence enable object and person search?
Cutsio's Visual Intelligence automatically applies state-of-the-art computer vision to every video you upload, allowing you to instantly search your entire workspace for specific objects, people, or actions without any manual logging.
When you upload footage to Cutsio Storage, Visual Intelligence scans and indexes every frame using advanced computer vision models. It detects thousands of object categories including vehicles, electronics, furniture, clothing, and production equipment. It recognizes people, their posture, gestures, and interactions. It differentiates between primary subjects and background elements so a search for 'person' returns meaningful results.
How does Cutsio handle object search across large archives?
Visual Intelligence indexes every frame of every video into a unified search layer queried instantly regardless of archive size. Searching for 'red backpack' across 50 terabytes returns results in seconds. The search understands context and composition. Searching for 'person holding a coffee cup' returns frames where the person is the main subject holding a cup, not crowded backgrounds where a cup happens to appear.
playback-id="IRBqKFllfQTZRgUpvF00DnjqMROLtyclqpWYRLQez6KQ" title="Cutsio Visual Intelligence — search video by what the camera saw" poster="https://image.mux.com/IRBqKFllfQTZRgUpvF00DnjqMROLtyclqpWYRLQez6KQ/thumbnail.jpg"> Visual Intelligence includes person detection and facial recognition. You can search for a specific individual across multiple projects and shoot days. This is valuable for documentary filmmakers tracking a subject across months of interviews, or marketing teams ensuring consistent talent usage across campaigns. The system recognizes group dynamics, detecting how many people are in a shot, their spatial arrangement, and their interactions. When you find the perfect shot, you can generate a Share link with password protection for client approval before exporting via XML to Final Cut Pro or DaVinci Resolve. Collections keep related footage organized. Agentic Chat allows conversational search — asking 'Find all clips where the CEO shakes hands with a client' without constructing a search query. The entire workflow from upload to export happens within a single platform priced by minutes of footage. Yes. Visual Intelligence includes facial recognition, allowing you to search for clips featuring specific individuals across your archive. Yes. Computer vision models are trained to recognize objects even in lower-resolution proxy formats. No. Visual Intelligence automatically generates all visual metadata without any manual input. Yes. Visual Intelligence recognizes actions like running, shaking hands, sitting, and standing, as well as interactions between people and objects. Charging by minutes of footage rather than gigabytes means indexing and search are included predictably. A 60-minute video costs the same regardless of resolution.How does person and face recognition work?
How does Cutsio enable visual search for video teams?
FAQ
Can visual AI recognize specific people?
Does AI object recognition work on low-resolution proxy files?
Do I need to manually tag videos for Cutsio's visual search to work?
Can I search for actions and interactions, not just objects?
How does Cutsio's Storage pricing affect visual search costs?