Video Player Caption Synchronization via Frame-Specific Timecodes
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Solution Overview
Problem
Current video captioning technologies lack the ability to efficiently add and synchronize text captions with video streams in real-time, especially when videos are streamed from third-party websites, and do not allow for user-driven caption creation and editing.
Innovation Solution
A computer-implemented video player system that retrieves video data, creates and edits text captions, and synchronizes them with video streams on a frame-specific basis, allowing users to upload and manage captions, and store them for future playback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If video captioning is implemented in real-time during video streaming, then user experience is improved through immediate text overlay, but system complexity increases due to frame-specific synchronization requirements
Solution Approach 1:
The system performs preliminary actions by pre-processing video frames to identify captioning opportunities before full playback, and by pre-synchronizing text captions with video timecodes. This allows real-time captioning to be achieved without complex runtime processing, as the synchronization work is done in advance during video ingestion or playback preparation.
Solution Approach 2:
The video stream is segmented into discrete frames with associated timecodes, and captioning is performed independently for each frame or time segment. This segmentation allows the complex real-time captioning task to be broken down into manageable frame-by-frame operations, reducing overall system complexity while maintaining real-time performance.
2Measurement precision
If user-driven caption creation and editing is allowed, then caption accuracy and relevance are improved, but processing time and computational resources increase
Solution Approach 1:
The system enables users to directly create and edit captions through an integrated interface, allowing them to self-service the captioning process. Users can input text, adjust timing, and synchronize captions with video content without requiring complex automated processing, thereby improving accuracy while keeping processing time manageable through user efficiency.
Solution Approach 2:
The system provides real-time feedback to users as they create and edit captions, showing how text synchronization with video frames is achieved. This feedback mechanism guides users to create accurate captions more quickly by visually demonstrating timing and placement, reducing the trial-and-error process and overall processing time.
3Measurement precision
If text captions are synchronized on a frame-specific basis with video streams, then caption timing precision is improved, but data processing complexity increases
Solution Approach 1:
The system creates a copy of the video timeline with associated timecode data that is separately processed for caption synchronization. Instead of directly manipulating video frames for timing, the system works with copied temporal data structures that map video time to caption display time, achieving frame-specific precision through data copying rather than complex frame manipulation.
Solution Approach 2:
The system adds a temporal dimension to caption data by associating each caption with specific video timecodes and frame references. This dimensional approach allows precise frame-specific synchronization to be achieved through time-based data structures rather than spatial frame manipulation, simplifying the processing complexity while maintaining timing precision.
4Adaptability or versatility
If captions are stored and managed for future playback, then caption reusability and consistency are improved, but storage and retrieval complexity increase
Solution Approach 1:
The system stores captions as separable data objects that can be copied and associated with different video instances. Caption data including text content, timing information, and synchronization metadata are copied and stored in a reusable format, allowing the same caption set to be applied across multiple video playbacks without regenerating them, thus improving reusability while managing storage through efficient data copying.
Data Source
AI summary
A computer-implemented video-player for adding and/or editing a time-sequenced caption to a video stream already stored on a web-site or uploaded by the user. A method and computer program product effectuating such manipulation of a caption in relation to the video stream. Editing of the caption can be effectuated only by a user who has created the caption. The video-player plays the video-stream with the caption overlayed on the video in a window movable, at user's discretion, across the screen of the video-player. The video stream and the associated caption are stored, generally, in different storages, with the caption being stored in association of a site or device hosting the video-player.