Subtitle Extraction via Adjacency and Component Trees
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Solution Overview
Problem
Current video playback systems face difficulties in extracting and identifying various forms of subtitles in a unified manner, making it challenging to automatically extract subtitles in text format for sharing or recording during video playback.
Innovation Solution
A subtitle extraction method and device that decodes video frames, performs adjacency operations to identify subtitle regions, constructs component trees for channel extraction, and applies color enhancement processing to merge contrasting extremal regions from multiple channels, allowing for the extraction of subtitles regardless of their format.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple subtitle extraction methods are used for different subtitle formats, then extraction accuracy for each format is improved, but device complexity and operation difficulty increase
Solution Approach 1:
The patent applies universality by designing a single subtitle extraction device that can handle multiple subtitle formats (embedded, internal, external) through one unified extraction method. The device uses universal processing steps including decoding video frames, performing adjacency operations on pixels, constructing component trees, and merging contrasting extremal regions, which work across all subtitle types without requiring format-specific extraction algorithms.
Solution Approach 2:
The patent segments the subtitle extraction process into distinct operational steps: decoding video frames to obtain individual frames, performing adjacency operations to identify subtitle regions, constructing component trees for region analysis, and merging contrasting extremal regions to extract final subtitle text. This segmentation allows the complex extraction task to be broken down into manageable, reusable operations that can be applied uniformly to different subtitle formats.
2Measurement precision
If manual subtitle extraction is performed for each format, then extraction precision is maintained, but productivity and time efficiency decrease
Solution Approach 1:
The patent implements self-service by enabling the subtitle extraction device to automatically perform all extraction operations without manual intervention. The device autonomously decodes video frames, identifies subtitle regions through adjacency operations, constructs component trees, and merges contrasting extremal regions to extract subtitle text, eliminating the need for manual extraction while maintaining high accuracy and improving productivity.
Solution Approach 2:
The patent replaces manual mechanical extraction processes with automated computational methods. Instead of manually analyzing and extracting subtitles from different formats, the system uses automated image processing techniques including pixel adjacency operations, component tree construction, and contrasting extremal region merging, which significantly improve extraction speed while maintaining accuracy.
3Productivity
If automated subtitle extraction is implemented, then productivity is improved, but measurement precision and reliability may deteriorate
Solution Approach 1:
The patent incorporates feedback mechanisms in the automated extraction process by using component tree construction to analyze subtitle region structures and contrasting extremal region merging to refine extraction results. The system continuously refines its extraction by comparing adjacent frames, identifying consistent subtitle regions, and adjusting extraction parameters based on the structural analysis of subtitle components, thereby maintaining high accuracy in automated operation.
Solution Approach 2:
The patent applies preliminary action by performing adjacency operations on video frame pixels before final subtitle extraction to pre-identify potential subtitle regions. The system also constructs component trees in advance to analyze the structural characteristics of subtitle regions, preparing the data in a format that facilitates accurate automated extraction while improving processing efficiency.
4Device complexity
If a unified extraction method is used for all subtitle formats, then device complexity is reduced, but adaptability to different subtitle formats may worsen
Solution Approach 1:
The patent achieves universality by designing an extraction device that handles embedded, internal, and external subtitle formats through a single unified method. The device performs universal operations including video frame decoding, pixel adjacency analysis, component tree construction, and contrasting extremal region merging, which are applicable to all subtitle types without requiring format-specific processing paths.
Solution Approach 2:
The patent utilizes parameter changes by adjusting extraction parameters such as adjacency operation thresholds, component tree construction criteria, and contrasting extremal region merging parameters to adapt to different subtitle formats. These parameter adjustments allow the unified extraction method to maintain high adaptability across various subtitle types while keeping the overall system structure simple and consistent.
Data Source
AI summary
A subtitle extraction method includes decoding a video to obtain video frames; performing adjacency operation in a subtitle arrangement direction on pixels in the video frames to obtain adjacency regions in the video frames; and determining certain video frames including a same subtitle based on the adjacency regions, and subtitle regions in the certain video frames including the same subtitle based on distribution positions of the adjacency regions in the video frames including the same subtitle. The method also includes constructing a component tree for at least two channels of the subtitle regions and using the constructed component tree to extract a contrasting extremal region corresponding to each channel; performing color enhancement processing on the contrasting extremal regions of the at least two channels to form a color-enhanced contrasting extremal region; and extracting the subtitle by merging the color-enhanced contrasting extremal regions of at least two channels.