Video Content Entity Watermarking for Dynamic Supplemental Retrieval

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Solution Overview

Problem

Current methods for delivering video content are impersonalized and inefficient, requiring manual processes for identifying content entities and linking them to supplemental content, which are static and prone to manual updates.

Innovation Solution

A method and system that analyze video data to identify known content entities, determine corresponding regions of pixels, and embed watermarks within the video data to retrieve supplemental content dynamically, allowing for automatic identification and embedding of content entities and their associated information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual processes are used to identify content entities and link them to supplemental content, then the process is simple to implement, but the efficiency and productivity are low

Engineering Contradiction:

Improveefficiency of content entity identification and supplemental content linkingVSAvoidcomplexity of automatic identification system

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent replaces manual mechanical processes (human viewing and identification) with automatic computer-based analysis. The system uses video data analysis to automatically identify content entities and embed watermarks, eliminating the need for manual intervention and significantly improving productivity while managing complexity through automated algorithms.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service by allowing the video content itself to carry the identification information through embedded watermarks. The content entities are automatically identified and linked to supplemental content without requiring external manual processes, making the system self-sufficient and highly efficient.

Inventive Principle:

Principle #25Self-service

2Adaptability or versatility

If manual processes are used to update supplemental information links, then the system is easy to maintain, but the system is static and cannot be dynamically updated

Engineering Contradiction:

Improvedynamic updating capability of supplemental content linksVSAvoidcomplexity of dynamic update mechanism

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent introduces dynamics by enabling real-time or near-real-time updates of supplemental content links. The automatic identification system can detect changes in video content and dynamically update associated supplemental content without manual intervention, allowing the system to adapt to changing content while managing complexity through automated processes.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system implements feedback mechanisms where the automatic analysis of video data provides information about content entities, which then triggers updates to supplemental content links. This closed-loop feedback system enables dynamic adaptation without manual intervention, balancing adaptability with manageable complexity through automated control.

Inventive Principle:

Principle #23Feedback

3Productivity

If watermarks are embedded in video data for automatic identification, then the retrieval of supplemental content is efficient, but the video data is modified

Engineering Contradiction:

Improveefficiency of supplemental content retrievalVSAvoidintegrity of original video data

Core Design Contradiction:

ProductivityVSStability of the object's composition

Solution Approach 1:

The patent embeds watermark information within the video data structure, nesting the identification information inside the existing video content. This allows efficient retrieval of supplemental content through the embedded watermarks while maintaining the overall structure and integrity of the original video data, as the watermark is integrated rather than added as a separate layer.

Inventive Principle:

Principle #7Nested doll (Nesting)

Data Source

PatentUS10694263B2Descriptive metadata extraction and linkage with editorial content

Publication Date: 2020.06.23 DISNEY ENTERPRISES INC

AI summary

Embodiments provide techniques for distributing supplemental content based on content entities within video content. Embodiments include analyzing video data to identify a known content entity within two or more frames of the video data. For each of the two or more frames, a region of pixels within the respective frame is determined that corresponds to the known content entity. Embodiments further include determining supplemental content corresponding to the known content entity. A watermark is embedded at a first position within the video data, such that the watermark corresponds to an identifier associated with the determined supplemental content. Upon receiving a message specifying the identifier, embodiments include transmitting the supplement content to a client device for output together with the video data.