Semantic-Based Trick Mode Video Playback
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Solution Overview
Problem
Traditional trick mode video playback methods based solely on time lead to uneven playback rates, making it difficult for viewers to discern short video scenes at high speed, as longer scenes occupy more playback time than shorter ones, resulting in an unsatisfactory viewing experience.
Innovation Solution
Implementing semantics-based trick mode playback, where video content is replayed at rates inversely proportional to the time interval of semantic occurrences, such as scene changes, metadata, or audio features, ensuring a more uniform viewing experience by adjusting playback speed based on the density of semantic elements along the timeline.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If standard time-based trick mode playback is used, then playback speed is uniformly increased across all video content, but short scenes become indiscernible and viewing experience deteriorates
Solution Approach 1:
The patent applies local quality by varying the trick mode playback rate according to the local density of semantic occurrences within the video content. Instead of applying a uniform playback speed across the entire video, the system dynamically adjusts the playback rate for different time intervals based on how densely semantic events (such as scene changes, metadata updates, or audio feature transitions) are packed. In intervals with high semantic density, the playback rate is reduced to ensure each semantic occurrence remains discernible, while in low-density intervals, the playback rate can be higher. This localized adjustment of playback quality resolves the contradiction between maintaining high overall playback speed and preserving scene detail discernibility.
2Loss of time
If fast forward playback is applied uniformly, then overall viewing time is reduced, but information about short scenes is lost
Solution Approach 1:
The patent implements dynamics by making the playback rate variable rather than static. The system continuously monitors the density of semantic occurrences and dynamically adjusts the trick mode playback rate in response to these changes. When short scenes or high-density semantic intervals are detected, the playback rate is automatically reduced to prevent information loss, while allowing faster playback during less critical intervals. This dynamic adaptation resolves the contradiction between reducing total playback duration and preserving short scene information by optimizing the trade-off in real-time based on content characteristics.
3Productivity
If trick mode playback rate is increased, then playback efficiency improves, but uniformity of viewing experience across different scene lengths deteriorates
Solution Approach 1:
The patent applies parameter changes by modifying the playback rate parameter based on the semantic density of different video intervals. The system calculates a trick mode playback rate that is inversely proportional to the density of semantic occurrences, ensuring that intervals with more semantic events (such as short scenes) are played back slower, while intervals with fewer events can be played back faster. This parameter adjustment maintains playback efficiency overall while stabilizing the viewing experience uniformity across different scene lengths, resolving the contradiction between these two objectives.
Data Source
AI summary
Trick mode play for controlling video content playback can be realized using a semantic based criterion in order to achieve a more uniform playback experience for the viewer, when that viewer wishes to observe the video content presented according to a selected semantic. In one embodiment of the method, semantics associated with shorter time intervals in the video content are replayed in trick mode play proportionally slower than semantics associated with longer time intervals, wherein the proportionally is determined, at least in part, to the time interval associated with each semantic. In various embodiments, semantics can include scenes, audio, metadata, tags, and the like. The semantics based trick mode play approach allows for a more uniform viewing experience, on a time duration basis, from one semantic to the next.