Scalable Watermark Insertion for Fragmented Media Streams
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Solution Overview
Problem
Existing mechanisms for generating digital watermarks for media streams are limited, leading to inefficient generation and storage of unique watermarks for each user, which burdens network and server resources and prevents effective caching.
Innovation Solution
Implementing a scalable watermark insertion system where only every nth fragment of a media stream is watermarked, using a limited set of watermark variants that can be cached efficiently, allowing for identification of unauthorized content distribution by tracking sequences of variants in a user access database.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If unique watermarks are generated for each user in every fragment, then user identification capability is improved, but network and server resource consumption increases and caching efficiency deteriorates
Solution Approach 1:
The media stream is divided into multiple fragments, and watermarking is applied selectively to specific fragments (e.g., every nth fragment) rather than all fragments. This segmentation approach reduces the total number of watermarked fragments while maintaining user identification capability through sequence tracking.
Solution Approach 2:
A limited set of watermark variants is created that can serve multiple users through different sequencing combinations. Instead of creating unique watermarks for each user, the system uses a universal set of variants that can be combined in sequences to identify individual users, reducing overall watermark generation and storage requirements.
2Measurement precision
If unique watermarks are generated for each user in every fragment, then user identification capability is improved, but caching efficiency deteriorates
Solution Approach 1:
Watermarking is segmented to apply only to specific fragments (e.g., every nth fragment) rather than all fragments. This allows non-watermarked fragments to be cached efficiently while watermarked fragments provide identification capability.
Solution Approach 2:
Instead of watermarking all fragments for all users (excessive action), the system applies watermarking partially to only necessary fragments. This partial action maintains sufficient user identification capability while improving caching efficiency for non-watermarked fragments.
3Loss of energy
If a limited set of watermark variants is used, then network and server efficiency is improved and caching is enabled, but the number of identifiable users is reduced
Solution Approach 1:
The system transitions from identifying users through individual watermark content to identifying users through the sequence dimension of watermark variants. By tracking the order and combination of variants across multiple fragments, the system can identify millions of users using a limited set of base variants.
Solution Approach 2:
Watermark variants are applied periodically to every nth fragment rather than continuously to every fragment. This periodic application reduces resource consumption while the sequence of periodic variants maintains user identification capability.
Data Source
AI summary
A media stream is delineated into multiple fragments. Different watermark variants of individual fragments are generated. Particular sequences of watermark variants are selected for particular clients and maintained in a user access database. Analyzing media streams allows determination of the sequences of watermark variants and identification of particular clients intended to receive the media streams. Fragments can continue to be cached efficiently and unique watermarks need not be generated for each individual client.