Audio processing for detecting occurrences of loud sound characterized by brief audio bursts

    公开(公告)号:US11922968B2

    公开(公告)日:2024-03-05

    申请号:US17681115

    申请日:2022-02-25

    申请人: STATS LLC

    摘要: A boundary of a highlight of audiovisual content depicting an event is identified. The audiovisual content may be a broadcast, such as a television broadcast of a sporting event. The highlight may be a segment of the audiovisual content deemed to be of particular interest. Audio data for the audiovisual content is stored, and the audio data is automatically analyzed to detect one or more audio events indicative of one or more occurrences to be included in the highlight. Each audio event may be a brief, high-energy audio burst such as the sound made by a tennis serve. A time index within the audiovisual content, before or after the audio event, may be designated as the boundary, which may be the beginning or end of the highlight.

    VIDEO PROCESSING FOR EMBEDDED INFORMATION CARD LOCALIZATION AND CONTENT EXTRACTION

    公开(公告)号:US20220027631A1

    公开(公告)日:2022-01-27

    申请号:US17449882

    申请日:2021-10-04

    申请人: STATS LLC

    摘要: Metadata for one or more highlights of a video stream may be extracted from one or more card images embedded in the video stream. The highlights may be segments of the video stream, such as a broadcast of a sporting event, that are of particular interest. According to one method, video frames of the video stream are stored. One or more information cards embedded in a decoded video frame may be detected by analyzing one or more predetermined video frame regions. Image segmentation, edge detection, and/or closed contour identification may then be performed on identified video frame region(s). Further processing may include obtaining a minimum rectangular perimeter area enclosing all remaining segments, which may then be further processed to determine precise boundaries of information card(s). The card image(s) may be analyzed to obtain metadata, which may be stored in association with at least one of the video frames.

    AUDIO PROCESSING FOR DETECTING OCCURRENCES OF LOUD SOUND CHARACTERIZED BY BRIEF AUDIO BURSTS

    公开(公告)号:US20240170009A1

    公开(公告)日:2024-05-23

    申请号:US18421178

    申请日:2024-01-24

    申请人: STATS LLC

    摘要: A boundary of a highlight of audiovisual content depicting an event is identified. The audiovisual content may be a broadcast, such as a television broadcast of a sporting event. The highlight may be a segment of the audiovisual content deemed to be of particular interest. Audio data for the audiovisual content is stored, and the audio data is automatically analyzed to detect one or more audio events indicative of one or more occurrences to be included in the highlight. Each audio event may be a brief, high-energy audio burst such as the sound made by a tennis serve. A time index within the audiovisual content, before or after the audio event, may be designated as the boundary, which may be the beginning or end of the highlight.

    Machine learning for recognizing and interpreting embedded information card content

    公开(公告)号:US11373404B2

    公开(公告)日:2022-06-28

    申请号:US16411710

    申请日:2019-05-14

    申请人: STATS LLC

    摘要: Metadata for highlights of a video stream is extracted from card images embedded in the video stream. The highlights may be segments of a video stream, such as a broadcast of a sporting event, that are of particular interest to one or more users. Card images embedded in video frames of the video stream are identified and processed to extract text. The text characters may be recognized by applying a machine-learned model trained with a set of characters extracted from card images embedded in sports television programming contents. The training set of character vectors may be pre-processed to maximize metric distance between the training set members. The text may be interpreted to obtain the metadata. The metadata may be stored in association with the portion of the video stream. The metadata may provide information regarding the highlights, and may be presented concurrently with playback of the highlights.

    AUDIO PROCESSING FOR DETECTING OCCURRENCES OF LOUD SOUND CHARACTERIZED BY BRIEF AUDIO BURSTS

    公开(公告)号:US20220180892A1

    公开(公告)日:2022-06-09

    申请号:US17681115

    申请日:2022-02-25

    申请人: STATS LLC

    摘要: A boundary of a highlight of audiovisual content depicting an event is identified. The audiovisual content may be a broadcast, such as a television broadcast of a sporting event. The highlight may be a segment of the audiovisual content deemed to be of particular interest. Audio data for the audiovisual content is stored, and the audio data is automatically analyzed to detect one or more audio events indicative of one or more occurrences to be included in the highlight. Each audio event may be a brief, high-energy audio burst such as the sound made by a tennis serve. A time index within the audiovisual content, before or after the audio event, may be designated as the boundary, which may be the beginning or end of the highlight.

    Video processing for embedded information card localization and content extraction

    公开(公告)号:US11138438B2

    公开(公告)日:2021-10-05

    申请号:US16411713

    申请日:2019-05-14

    申请人: STATS LLC

    摘要: Metadata for one or more highlights of a video stream may be extracted from one or more card images embedded in the video stream. The highlights may be segments of the video stream, such as a broadcast of a sporting event, that are of particular interest. According to one method, video frames of the video stream are stored. One or more information cards embedded in a decoded video frame may be detected by analyzing one or more predetermined video frame regions. Image segmentation, edge detection, and/or closed contour identification may then be performed on identified video frame region(s). Further processing may include obtaining a minimum rectangular perimeter area enclosing all remaining segments, which may then be further processed to determine precise boundaries of information card(s). The card image(s) may be analyzed to obtain metadata, which may be stored in association with at least one of the video frames.