Techniques for curation of video game clips

US11007445B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11007445-B2
Application numberUS-201916543150-A
CountryUS
Kind codeB2
Filing dateAug 16, 2019
Priority dateAug 16, 2019
Publication dateMay 18, 2021
Grant dateMay 18, 2021

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

In one aspect, a device includes at least one processor and storage accessible to the at least one processor. The storage may include instructions executable by the at least one processor to analyze a user's gameplay of a video game and to curate one or more video clips based on the user's gameplay. The video game clips may be curated based on player input to an input device, player audio from a microphone, and/or player video from a camera.

First claim

Opening claim text (preview).

What is claimed is: 1. A device, comprising: at least one processor; and storage accessible to the at least one processor and comprising instructions executable by the at least one processor to: analyze a user's gameplay of a video game; and generate one or more searchable video clips based on the user's gameplay; wherein the analysis of the user's gameplay of the video game comprises analysis of audio from the user detected via a microphone, and wherein at least one of the searchable video clips is generated based on identification from the audio of one or more of: laughter, a positive exclamation by the user, a negative exclamation by the user. 2. The device of claim 1 , wherein the analysis of the user's gameplay of the video game comprises analysis of user inputs received via an input device, and wherein the instructions are executable to: analyze the user inputs received via the input device by associating similar input sequences that are identified from the user inputs; and make video clips of the similar sequences searchable by input sequence. 3. The device of claim 2 , wherein each similar input sequence comprises plural inputs received within a threshold non-zero time of each other. 4. The device of claim 1 , wherein at least one of the searchable video clips is generated based on identification from the audio of laughter. 5. The device of claim 1 , wherein at least one of the searchable video clips is generated based on identification from the audio of a positive exclamation by the user. 6. The device of claim 1 , wherein at least one of the searchable video clips is generated based on identification from the audio of a negative exclamation by the user. 7. The device of claim 1 , wherein at least one of the searchable video clips comprises video from the perspective of a first video game character different a second video game character controlled by the user. 8. The device of claim 7 , wherein the first video game character is a character controlled by another person besides the user. 9. The device of claim 1 , wherein the one or more video clips are searchable by one or more of: attacking a particular area of an opponent's body, moments the user does not prevail against a video game opponent, amusing or funny moments. 10. The device of claim 1 , wherein the one or more video clips are searchable by one or more of: montage of attacking a particular area of an opponent's body, montage of moments the user does not against a video game opponent, montage of amusing or funny moments. 11. A computer-implemented method, comprising: analyzing, using a device, data of a user playing a video game; and making video clips of the user's gameplay searchable based on the analysis; wherein at least one of the video clips comprises video from the perspective of a first video game character different a second video game character controlled by the user; and wherein the analyzing of the data of the user playing the video game comprises analyzing audio from the user detected via a microphone, and wherein the method comprises making at least one of the video clips searchable based on identification from the audio of one or more of: laughter, a positive exclamation by the user, a negative exclamation by the user. 12. A computer readable storage medium (CRSM) that is not a transitory signal, the computer readable storage medium comprising instructions executable by at least one processor to: analyze a user's gameplay of a video game; and generate one or more searchable video clips based on the user's gameplay; wherein at least one of the searchable video clips comprises video from the perspective of a first video game character different a second video game character controlled by the user; and wherein the analysis comprises analysis, using at least one artificial neural network, of similar player input sequences to an input device, and wherein the searchable video clips are grouped together by similar player input sequence. 13. The computer-implemented method of claim 11 , wherein the first video game character is a character controlled by another person besides the user. 14. The computer-implemented method of claim 11 , wherein at least one of the video clips is made searchable based on identification from the audio of laughter. 15. The computer-implemented method of claim 11 , wherein at least one of the video clips is made searchable based on identification from the audio of a positive exclamation by the user and/or a negative exclamation by the user. 16. The CRSM of claim 12 , wherein the analysis of the user's gameplay of the video game comprises analysis of audio from the user detected via a microphone, and wherein at least one of the searchable video clips is generated based on identification from the audio of one or more of: laughter, a positive exclamation by the user, a negative exclamation by the user. 17. The CRSM of claim 16 , wherein at least one of the searchable video clips is generated based on identification from the audio of laughter. 18. The CRSM of claim 16 , wherein at least one of the searchable video clips is generated based on identification from the audio of a positive exclamation by the user and/or a negative exclamation by the user. 19. The computer-implemented method of claim 11 , wherein the analyzing comprises analyzing, using at least one artificial neural network, similar player input sequences to an input device, and wherein the video clips are made searchable by similar player input sequence.

Assignees

Inventors

Classifications

  • Learning process for intelligent management, e.g. learning user preferences for recommending movies (details of learning user preferences for the retrieval of video data in a video database G06F16/739; computer systems using learning methods G06N3/08) · CPC title

  • involving operations for analysing video streams, e.g. detecting features or characteristics (television picture signal circuitry for scene change detection H04N5/147; filtering for image enhancement G06T5/00; methods or arrangements for recognising scenes G06V20/00; arrangements characterised by components specially adapted for monitoring, identification or recognition of video in broadcast systems H04H60/59) · CPC title

  • Details of game servers · CPC title

  • A63F13/86Primary

    Watching games played by other players · CPC title

  • Processing of audio elementary streams {(monitoring, identification or recognition of audio in broadcast systems H04H60/58)} · CPC title

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What does patent US11007445B2 cover?
In one aspect, a device includes at least one processor and storage accessible to the at least one processor. The storage may include instructions executable by the at least one processor to analyze a user's gameplay of a video game and to curate one or more video clips based on the user's gameplay. The video game clips may be curated based on player input to an input device, player audio from …
Who is the assignee on this patent?
Lenovo Singapore Pte Ltd
What technology area does this patent fall under?
Primary CPC classification A63F13/86. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue May 18 2021 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 4 related publications on this page (citations in our corpus or others sharing the same primary CPC).