SYSTEMS AND METHODS FOR ANALYZING VIDEO DATA AND GENERATING SCORING DATA

    公开(公告)号:US20250014336A1

    公开(公告)日:2025-01-09

    申请号:US18346623

    申请日:2023-07-03

    Abstract: System, process and device configurations are provided for analyzing video data, such as electronic game data, and generating scoring data for video data. Processes and device configurations include training a video data analysis model to generate scoring parameters, and for an evaluation tool for video data. Highly viewed and popular videos may be used as training input to the video analysis model. At least one score parameter may be determined for scoring videos. For electronic games, at least one score may be associated with a game scene, gameplay storylines, and for scoring video data in general. Analysis of game titles and game design may be performed during design to ensure that game scenes will have a high likelihood of user interest. Embodiments may also include modifying gameplay and gameplay storylines, and evaluating game promotional videos.

    Self-supervised AI-assisted sound effect recommendation for silent video

    公开(公告)号:US11694084B2

    公开(公告)日:2023-07-04

    申请号:US16848484

    申请日:2020-04-14

    CPC classification number: G06N3/084 G06F16/68 G06N3/045 G06N20/00 G10L15/16

    Abstract: Sound effect recommendations for visual input are generated by training machine learning models that learn coarse-grained and fine-grained audio-visual correlations from a reference image, a positive audio signals, and a negative audio signal. A positive audio embedding related to the reference image is generated from the positive audio signal and a negative audio embedding is generated from a negative audio signal. A machine learning algorithm uses the reference image, the positive audio embedding and the negative audio embedding as inputs to train a visual-to-audio correlation neural network to output a smaller distance between the positive audio embedding and the reference image than the negative audio embedding and the reference image.

    Personalized Data Driven Game Training System

    公开(公告)号:US20230054035A1

    公开(公告)日:2023-02-23

    申请号:US17892991

    申请日:2022-08-22

    Abstract: A video game console, a video game system, and a computer-implemented method are described. Generally, a video game and video game assistance are adapted to a player. For example, a narrative of the video game is personalized to an experience level of the player. Similarly, assistance in interacting with a particular context of the video game is also personalized. The personalization learns from historical interactions of players with the video game and, optionally, other video games. In an example, a deep learning neural network is implemented to generate knowledge from the historical interactions. The personalization is set according to the knowledge.

    Personalized data driven game training system

    公开(公告)号:US11420124B2

    公开(公告)日:2022-08-23

    申请号:US17065014

    申请日:2020-10-07

    Abstract: A video game console, a video game system, and a computer-implemented method are described. Generally, a video game and video game assistance are adapted to a player. For example, a narrative of the video game is personalized to an experience level of the player. Similarly, assistance in interacting with a particular context of the video game is also personalized. The personalization learns from historical interactions of players with the video game and, optionally, other video games. In an example, a deep learning neural network is implemented to generate knowledge from the historical interactions. The personalization is set according to the knowledge.

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