Cross-Platform Video Tracking Using Hash-Based View Identification
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Solution Overview
Problem
Existing video streaming platforms lack an efficient method to accurately track video usage and views across various communication devices and platforms, including social networks and messaging platforms, which hinders performance evaluation, user engagement analysis, content recommendation, monetization, and content moderation.
Innovation Solution
A method involving generating a unique hash code or unique ID for each original video, tracking streaming requests, marking metadata, identifying videos by hash codes or IDs, and aggregating reports at a designated server to compute views and stream requests, ensuring reliable data collection and insights into video popularity and usage patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If video streaming requests are tracked across various communication devices and platforms, then measurement precision of video usage is improved, but device complexity increases
Solution Approach 1:
The patent introduces a server as an intermediary component that centralizes the tracking functionality. The server receives hash codes from various communication devices and platforms, aggregates the data, and performs the complex processing operations. This mediator approach allows accurate cross-platform tracking without requiring each individual device to implement complex tracking logic, thus improving measurement precision while managing device complexity.
Solution Approach 2:
The patent uses hash codes as simplified copies or representations of video content identifiers. Instead of tracking entire video files or complex metadata across devices, the system generates and transmits compact hash code representations. This copying approach enables accurate tracking of video usage across platforms while minimizing the complexity and data burden on individual devices.
2Reliability
If unique hash codes are generated and transmitted for each video, then reliability of video identification is improved, but loss of information increases due to additional data transmission
Solution Approach 1:
The patent generates unique hash codes as compact digital representations or copies of video identifiers. These hash codes serve as reliable unique identifiers for video content while occupying minimal transmission bandwidth. The hash code copying mechanism ensures accurate video identification across platforms without requiring transmission of full video metadata or content, thus improving reliability while minimizing information loss.
3Measurement precision
If video metadata is marked with tracking information, then measurement precision of viewing location is improved, but device complexity increases
Solution Approach 1:
The server acts as an intermediary that handles the complex metadata processing operations. Communication devices simply embed tracking information in video metadata and transmit it to the server, which then processes and aggregates the location data from multiple sources. This mediator approach enables precise viewing location tracking without requiring complex processing capabilities at the individual device level.
Data Source
AI summary
The present invention discloses a method for tracking video usage/views at any communication device/platform, wherein the video is distributed thorough different social networks or messaging platforms, said method comprising the steps of:generating for each original video hash code which identifies the video and registering video at a designated server;tracking video streaming request by the video player or by communication devicemarking the video in the metadata or header the video was tracked (location ip address)identifying tracked video by computing hash code of the video and transmitting computed hash to designated commination server;aggregating reports of transmitted hash code at the designated server, identifying the original video for each transmitted hash code;computing number of views/stream request for each original video.