Video clip classification using feature vectors of a trained image classifier
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United States of America
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Apr 1, 2025
Grant Date -
Oct 12, 2023
app pub date -
Jun 14, 2023
filing date -
Jun 14, 2023
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Abstract
In various examples, potentially highlight-worthy video clips are identified from a gameplay session that a gamer might then selectively share or store for later viewing. The video clips may be identified in an unsupervised manner based on analyzing game data for durations of predicted interest. A classification model may be trained in an unsupervised manner to classify those video clips without requiring manual labeling of game-specific image or audio data. The gamer can select the video clips as highlights (e.g., to share on social media, store in a highlight reel, etc.). The classification model may be updated and improved based on new video clips, such as by creating new video-clip classes.
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