Activity identification in video

a video and activity technology, applied in the field of camera systems, can solve the problems of increasing video management difficulty, high resource consumption, and manual searching through raw videos (“scrubbing”) to identify the best scenes,

Inactive Publication Date: 2016-01-28
GOPRO
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, as users capture increasingly more and longer videos, video management becomes increasingly difficult.
Manually searching through raw videos (“scrubbing”) to identify the best scenes is extremely time consuming.
Automated video processing to identify the best scenes can be very resource-intensive, particularly with high-resolution raw-format video data.

Method used

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  • Activity identification in video
  • Activity identification in video
  • Activity identification in video

Examples

Experimental program
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Configuration

[0026]FIG. 2 is a block diagram illustrating a camera system, according to one embodiment. The camera 130 includes one or more microcontrollers 202 (such as microprocessors) that control the operation and functionality of the camera 130. A lens and focus controller 206 is configured to control the operation and configuration of the camera lens. A system memory 204 is configured to store executable computer instructions that, when executed by the microcontroller 202, perform the camera functionalities described herein. A synchronization interface 208 is configured to synchronize the camera 130 with other cameras or with other external devices, such as a remote control, a second camera 130, a smartphone, a client device 135, or a video server 140.

[0027]A controller hub 230 transmits and receives information from various I / O components. In one embodiment, the controller hub 230 interfaces with LED lights 236, a display 232, buttons 234, microphones such as microphones 222,...

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Abstract

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.

Description

CROSS REFERENCE TO RELATED APPLICATIONS[0001]This application claims priority to, and the benefit of, U.S. Provisional Application No. 62 / 039,849, filed Aug. 20, 2014, which is incorporated by reference herein in its entirety.BACKGROUND[0002]1. Technical Field[0003]This disclosure relates to a camera system, and more specifically, to processing video data captured using a camera system.[0004]2. Description of the Related Art[0005]Digital cameras are increasingly used to capture videos in a variety of settings, for instance outdoors or in a sports environment. However, as users capture increasingly more and longer videos, video management becomes increasingly difficult. Manually searching through raw videos (“scrubbing”) to identify the best scenes is extremely time consuming. Automated video processing to identify the best scenes can be very resource-intensive, particularly with high-resolution raw-format video data. Accordingly, an improved method of automatically identifying the b...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): G06K9/00G11B27/031H04N21/8549
CPCG06K9/00751H04N21/8549G11B27/031H04N5/77H04N5/91H04N9/8205H04N2201/3256H04N2201/3228H04N2201/3229H04N21/2353H04N13/172H04N13/178G11B27/28H04N5/772G06V40/179G06V20/44G06V20/47G06V40/15G06V2201/10H04N23/60H04N23/62G11B27/002G11B27/22G11B27/34
Inventor HODULIK, NICKTAYLOR, JONATHAN
Owner GOPRO
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