Video Metadata Embedding via Pixel Inversion
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Solution Overview
Problem
Conventional video streaming systems rely on separate metadata, which can be unreliable due to format conversion errors, lack of metadata, or unintelligible formats, leading to ineffective identification, labeling, and management of video content.
Innovation Solution
Embedding metadata directly into video content by encoding it into the frames using an algorithm that inverts pixels in regions of similar color, allowing for reliable identification and retrieval without separate metadata.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If metadata is stored separately from video content, then the video content can be streamed without additional processing, but the metadata becomes unreliable due to format conversion errors, lack of metadata, or unintelligible formats
Solution Approach 1:
The patent merges metadata with video content by embedding it directly into the video frames. The encoder embeds metadata into selected frames of the video content, creating a single integrated data structure where metadata and video content coexist. This eliminates the separate metadata storage approach and ensures metadata travels with the video content throughout format conversions and streaming processes.
2Reliability
If metadata is embedded into video content by altering pixels, then metadata reliability is improved during format conversions, but the video content quality may be affected by pixel inversions
Solution Approach 1:
The patent applies local quality by selectively embedding metadata in specific regions of video frames where pixel alterations are least noticeable. The encoder identifies suitable frames and regions within frames for metadata embedding, choosing locations that minimize visual impact. This allows metadata to be embedded reliably while preserving overall video content quality by concentrating alterations in less critical areas.
Solution Approach 2:
The patent uses partial action by embedding metadata in only some frames rather than all frames. The encoder selects specific frames suitable for metadata embedding based on content analysis, altering pixels only in those selected frames. This partial approach reduces the total number of pixel alterations compared to embedding in every frame, thereby minimizing impact on video quality while still ensuring metadata reliability.
3Device complexity
If separate metadata is used for video identification, then the system structure remains simple, but the device cannot effectively label, index, and manage video content when metadata is stripped during recording or duplication
Solution Approach 1:
The patent merges metadata with video content by embedding it directly into the video frames. The encoder embeds metadata into selected frames of the video content, creating a single integrated data structure where metadata and video content coexist. This eliminates the separate metadata storage approach and ensures metadata travels with the video content throughout format conversions and streaming processes.
Data Source
AI summary
There is provided systems and methods for embedding data into a video content. A system includes an encoder, a memory storing the encoder, and a hardware processor configured to execute the encoder from the memory. The hardware processor is configured to execute the encoder from the memory to obtain the data, determine a plurality of pixels in the video content, and embed the data into the video content by inverting the plurality of pixels in the video content according to the data. The system further includes a decoder for decoding the video content to obtain the data.