G11B27/13

SCENE AND ACTIVITY IDENTIFICATION IN VIDEO SUMMARY GENERATION
20190005333 · 2019-01-03 ·

Video and corresponding metadata is accessed. Events of interest within the video are identified based on the corresponding metadata, and best scenes are identified based on the identified events of interest. A video summary can be generated including one or more of the identified best scenes. The video summary can be generated using a video summary template with slots corresponding to video clips selected from among sets of candidate video clips. Best scenes can also be identified by receiving an indication of an event of interest within video from a user during the capture of the video. Metadata patterns representing activities identified within video clips can be identified within other videos, which can subsequently be associated with the identified activities.

Scene and activity identification in video summary generation
10074013 · 2018-09-11 · ·

Video and corresponding metadata is accessed. Events of interest within the video are identified based on the corresponding metadata, and best scenes are identified based on the identified events of interest. A video summary can be generated including one or more of the identified best scenes. The video summary can be generated using a video summary template with slots corresponding to video clips selected from among sets of candidate video clips. Best scenes can also be identified by receiving an indication of an event of interest within video from a user during the capture of the video. Metadata patterns representing activities identified within video clips can be identified within other videos, which can subsequently be associated with the identified activities.

System and method for composing function programming for adult toy operation in synchronization with video playback

A method for programming a tactile stimulation device includes displaying a video playback scrubber showing a video in conjunction with a timeline and providing navigation controls for playing, advancing, and regressing the display of the video. A control panel for selecting an operational mode of the tactile stimulation device is displayed concurrently with the video playback scrubber. Commands are received either via the displayed control panel or by keyboard, each of the commands selects the operational mode and an associated period of time. Each of the commands is graphically represented on the displayed timeline according to the selected periods of time. The commands are saved, along with the associated selected periods of time, either as an independent file or annotated within the video file.

Video scene classification by activity
09984293 · 2018-05-29 · ·

Video and corresponding metadata is accessed. Events of interest within the video are identified based on the corresponding metadata, and best scenes are identified based on the identified events of interest. A video summary can be generated including one or more of the identified best scenes. The video summary can be generated using a video summary template with slots corresponding to video clips selected from among sets of candidate video clips. Best scenes can also be identified by receiving an indication of an event of interest within video from a user during the capture of the video. Metadata patterns representing activities identified within video clips can be identified within other videos, which can subsequently be associated with the identified activities.

Encoding information on tape using write offset gaps

As disclosed herein a method for encoding information on tape using write offset gaps. The method includes receiving a request to write a dataset on a tape medium using a plurality of head groups, and identifying information to be encoded when writing the dataset. The method further includes determining a head group offset pattern that encodes the information, and writing the dataset using the head group offset pattern. Also disclosed herein is a method for decoding information on tape using write offset gaps. The method includes reading a dataset from a tape medium using a plurality of head groups, and determining a head group offset pattern used to read the dataset. The method further includes decoding information encoded in the head group offset pattern to provide decoded information. A computer program product corresponding to the above method is also disclosed herein.

Methods for Improving Track Density in Dual-Reel Removable Tape Devices and Fixed Tape Devices

The present disclosure generally relates to a tape drive comprising a tape wound around first and second tape reels and a tape head module configured to write data to and read data from the tape. The tape drive is configured to equalize the amount of time the tape spends stored in a first state and a second state when being stored long term, or when in a preservation phase, to minimize the effects of creep and tape dimensional stability. In the first state, a majority of the tape is wound around the first tape reel. In the second state, the majority of the tape is wound around the second tape reel. The tape drive is configured to move the tape between the first and second states: (1) upon being triggered by the timer, or (2) based on the tape head module being utilized to determine a position error signal.

Systems and methods for generating time-lapse videos
12211520 · 2025-01-28 · ·

Video content may be captured by an image capture device during a capture duration. The video content may include video frames that define visual content viewable as a function of progress through a progress length of the video content. Rotational position information may characterize rotational positions of the image capture device during the capture duration. Time-lapse video frames may be determined from the video frames of the video content based on a spatiotemporal metric. The spatiotemporal metric may characterize spatial smoothness and temporal regularity of the time-lapse video frames. The spatial smoothness may be determined based on the rotational positions of the image capture device corresponding to the time-lapse video frames, and the temporal regularity may be determined based on moments corresponding to the time-lapse video frames. Time-lapse video content may be generated based on the time-lapse video frames.

Systems and methods for generating time-lapse videos
12211520 · 2025-01-28 · ·

Video content may be captured by an image capture device during a capture duration. The video content may include video frames that define visual content viewable as a function of progress through a progress length of the video content. Rotational position information may characterize rotational positions of the image capture device during the capture duration. Time-lapse video frames may be determined from the video frames of the video content based on a spatiotemporal metric. The spatiotemporal metric may characterize spatial smoothness and temporal regularity of the time-lapse video frames. The spatial smoothness may be determined based on the rotational positions of the image capture device corresponding to the time-lapse video frames, and the temporal regularity may be determined based on moments corresponding to the time-lapse video frames. Time-lapse video content may be generated based on the time-lapse video frames.

Voice-Based Video Tagging

Video and corresponding metadata is accessed. Events of interest within the video are identified based on the corresponding metadata, and best scenes are identified based on the identified events of interest. A video summary can be generated including one or more of the identified best scenes. The video summary can be generated using a video summary template with slots corresponding to video clips selected from among sets of candidate video clips. Best scenes can also be identified by receiving an indication of an event of interest within video from a user during the capture of the video. Metadata patterns representing activities identified within video clips can be identified within other videos, which can subsequently be associated with the identified activities.

Voice-based video tagging

Video and corresponding metadata is accessed. Events of interest within the video are identified based on the corresponding metadata, and best scenes are identified based on the identified events of interest. A video summary can be generated including one or more of the identified best scenes. The video summary can be generated using a video summary template with slots corresponding to video clips selected from among sets of candidate video clips. Best scenes can also be identified by receiving an indication of an event of interest within video from a user during the capture of the video. Metadata patterns representing activities identified within video clips can be identified within other videos, which can subsequently be associated with the identified activities.