Content-Based Partitioning of Digital Media
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Solution Overview
Problem
Conventional digital media content distribution systems segment videos into uniform time segments, disregarding content changes, which hampers user navigation and search precision, and does not align with consumer preferences, leading to a suboptimal viewing experience.
Innovation Solution
A content-based partitioning system that identifies partition boundaries within digital media content based on inherent transitions, using encoding parameters and content profiles to segment the content into non-uniform blocks, enhancing user navigation and search capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If digital media content is segmented into uniform time segments, then the segmentation process is simple and systematic, but user navigation precision and search accuracy deteriorate because partition boundaries do not align with content transitions
Solution Approach 1:
The patent divides digital media content into multiple partitions based on content transitions rather than uniform time intervals. The content is segmented at scene changes and transition points, creating variable-length partitions that align with meaningful content boundaries. This segmentation approach improves navigation precision by ensuring partition boundaries coincide with actual content transitions, allowing users to jump directly to relevant sections.
Solution Approach 2:
The system performs preliminary analysis of the digital media content to identify scene changes and transitions before creating partitions. By pre-processing the content to detect transition points and generate a partition structure in advance, the system establishes navigation-friendly segments before user interaction occurs. This preliminary action enables precise navigation without requiring complex real-time analysis during user operations.
2Ease of operation
If partition boundaries are aligned with content transitions, then user navigation and search capabilities improve, but the segmentation process becomes more complex and computationally intensive
Solution Approach 1:
The patent introduces an intermediary component that analyzes content transitions and generates partition boundary information. This intermediary layer processes the raw digital media content to identify scene changes and creates a structured partition map that simplifies subsequent navigation operations. By placing this intermediary analysis step between content storage and user access, the system improves ease of operation without burdening the core navigation system with complex analysis logic.
Solution Approach 2:
The system creates a copy or representation of the content structure that includes partition boundary information. Instead of analyzing content transitions in real-time during navigation, the system pre-generates a partition map or index that mirrors the content structure with embedded transition points. This copied structural information enables simple, fast navigation operations while the complex transition detection occurs only during the initial partitioning phase.
3Manufacturing precision
If content is divided into non-uniform blocks based on content transitions, then search precision and chaptering accuracy improve, but processing time and computational resources increase
Solution Approach 1:
The patent performs content transition detection and partition creation as a preliminary process during content ingestion or pre-processing. By identifying scene changes and establishing accurate chapter boundaries before distribution, the system achieves high chaptering accuracy without imposing processing delays during user playback. The computationally intensive transition detection occurs upfront, allowing fast, precise navigation during actual content consumption.
Solution Approach 2:
The system employs dynamic partitioning where partition boundaries are determined by actual content transitions rather than fixed intervals. The partition structure adapts to the specific characteristics of each content piece, creating variable-length segments that precisely match scene changes. This dynamic approach improves chaptering accuracy by reflecting the actual content structure, while processing efficiency is maintained through optimized transition detection algorithms that focus computational effort only where transitions occur.
Data Source
AI summary
There is provided a content based partitioning system and a method for use in performing content based partitioning of digital media content. In one implementation, such a content based partitioning system includes a system processor, a system memory, and a content based partitioning module stored in the system memory. The content based partitioning module, under control of the system processor, is configured to receive encoded digital media content corresponding to the digital media content, to receive encoding parameters used to encode the encoded digital media content, and to utilize the encoding parameters and the encoded digital media content to identify partition boundaries in the encoded digital media content.