Media Stream Watermark Detection for Content Portion Identification
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Solution Overview
Problem
Existing media streaming technologies face challenges in efficiently identifying and processing specific content portions within media streams, particularly in rebroadcast scenarios where content such as advertisements or objectionable material needs to be excluded or included, due to limitations in processing capabilities and the difficulty in accurately locating these portions within the stream.
Innovation Solution
A system and method utilizing a processor and memory with computer executable components that include a reception component to receive media streams, a detection component to identify segments with embedded watermarks, and a processing component to selectively process these segments based on the watermark instructions, allowing for the exclusion, inclusion, or replacement of content portions within the media stream.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional methods are used to identify and remove content portions from media streams, then content can be excluded from rebroadcast, but the process becomes difficult and time consuming
Solution Approach 1:
Watermarks are embedded in content portions during the original broadcast before redistribution. This preliminary marking enables automatic identification during rebroadcast, eliminating the need for manual content analysis and significantly reducing processing time.
Solution Approach 2:
Watermarks serve as an intermediary mechanism between the original content and the redistribution system. These embedded markers act as signals that enable automatic detection and identification of specific content portions without requiring complex analysis of the actual media content.
2Measurement precision
If comprehensive content analysis is performed to identify portions for exclusion, then accurate content detection is achieved, but processing capabilities are overwhelmed
Solution Approach 1:
The essential identification information (watermark) is extracted from the complex media content and placed as a separate, easily detectable signal. This allows the system to identify content portions by detecting the watermark rather than analyzing the entire media stream, dramatically reducing processing requirements.
Solution Approach 2:
Complex mechanical/content-based analysis is replaced by a simpler detection system that looks for embedded watermark signals. This substitution transforms a computationally intensive content analysis problem into a straightforward signal detection task.
Data Source
AI summary
Aspects relate to tagging portions of streaming media such that one or more actions can be taken on the tagged portions. An action can be to remove a section of the streaming media. Another action can be to retain a portion of the streaming media, regardless of whether or not other portions are retained. Another action can be to replace content with different content. The tagging can be facilitated by the user of a lightweight embedded watermark. In another example, the tagging can be facilitated through the use of watermark types.