Video Object Detection to Enable Interactive Product Tagging

Based on Patent Research | US-2022141534-A1 (2024)

Manual labeling of products in media streams is labor intensive and leads to frequent errors. This manual work slows down production and makes cataloging difficult for large libraries. Video object detection solves this by using AI to recognize and track items across moving frames. This method ensures consistent identification as products move through a scene. Automating this process creates accurate interactive links for viewers and improves data management for studios and creators.

SOLUTION OVERVIEW

Reimagining Manual Annotation with AI Detection

Video object detection serves as a vital tool for the motion picture industry by identifying and tracking items across dynamic scenes. This technology processes video streams frame by frame, utilizing temporal analysis to maintain a lock on specific props or costumes as they move. The system first scans the footage for visual patterns, then creates a persistent digital trail for each recognized object throughout the timeline. This continuous tracking ensures that metadata remains linked to the correct item despite changes in camera angles or lighting.

By integrating this automation into post production workflows, studios can sync digital catalogs with their vast media libraries. This approach acts like a digital librarian who instantly bookmarks every costume change in a feature film, removing the need for tedious manual tagging. Such efficiency optimizes resource management and creates a foundation for interactive viewing experiences where fans can engage with on screen content. As this technology matures, it will empower creators to manage complex visual assets with unprecedented speed and precision.

HOW IT WORKS

Reading Interactive Products in Video

Scanning Video Footage

The system begins by ingesting raw media streams and breaking them down into individual frames for detailed analysis. Each frame is scanned to identify visual patterns that correspond to specific props, costumes, or products within the scene. This initial pass sets the foundation for understanding the visual composition of the entire production.

Identifying Key Visual Assets

Artificial intelligence models apply neural networks to detect and outline the boundaries of various items using precise digital masks. This process distinguishes between different objects even when they overlap or appear against complex cinematic backgrounds. The result is a set of recognized assets ready for detailed tracking throughout the footage.

Maintaining Continuous Object Locks

The system employs temporal analysis to follow each identified item as it moves across the screen or through different camera angles. By creating a persistent digital trail, the software ensures that the identity of a prop remains consistent despite changes in lighting or perspective. This continuous monitoring prevents the loss of data during fast-paced sequences or scene transitions.

Linking Metadata to Catalogues

In the final phase, the tracked visual paths are synchronized with digital databases to create interactive bookmarks within the media library. This step connects every recognized costume or item to its corresponding entry in a studio inventory. Creators can then use these accurate digital links to manage assets efficiently or build engaging viewer experiences.

Potential Benefits

Streamlined Post-Production Workflows

Automated object tracking eliminates the need for manual frame-by-frame tagging of props and costumes. This acceleration allows production teams to manage vast media libraries with significantly less human effort.

Superior Metadata Accuracy

By using temporal analysis to maintain a lock on visual patterns, the system ensures that product links remain consistent across different camera angles. This precision reduces errors common in labor-intensive manual labeling.

Enhanced Viewer Engagement Opportunities

Accurate digital trails for on-screen items create a foundation for interactive viewing experiences. Fans can easily engage with specific costumes or products through perfectly synced metadata during a feature film.

Efficient Asset Management

The system acts as an automated librarian that instantly bookmarks every visual asset change. This persistent tracking optimizes resource management and provides creators with unprecedented control over complex media catalogs.

Implementation

1 Ingest Media Streams. Upload high-resolution video footage into the processing environment to prepare for automated frame-by-frame analysis.

2 Configure Asset Catalog. Connect your existing inventory database to the system to provide reference data for props and costumes.

3 Deploy Detection Models. Initialize the neural networks to identify visual patterns and apply precise digital masks across the media library.

4 Establish Temporal Locks. Configure the tracking parameters to maintain consistent object identification through camera angle shifts and lighting changes.

5 Sync Metadata Links. Integrate the tracked visual paths with your digital catalog to create interactive, searchable bookmarks for every asset.

Source: Analysis based on Patent US-2022141534-A1 "Connected interactive content data creation, organization, distribution and analysis" (Filed: August 2024).

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