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1.
公开(公告)号:US11030257B2
公开(公告)日:2021-06-08
申请号:US16417232
申请日:2019-05-20
Applicant: Adobe Inc.
Inventor: Jonas Dahl , Sudheer Tumu , Nithyanand Kota , Mihir Naware , Maneesh Dewan , Jatin Chhugani , Ganesh Satish Mallya
IPC: G06F40/30 , G06F16/906 , G06K9/46 , G06N3/02 , G06F16/16
Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for clustering media items in a semantic space to generate theme-based folders that organize media items by content theme. In particular, the disclosed systems can access media items that are stored in an original folder structure. The disclosed systems can generate content-based tags for each media item in a collection of media items. Based on the generated tags, the disclosed systems can map the collection of media items to a semantic space and cluster the collection of media items. The disclosed systems determine themes for the clusters based on the generated tags. The disclosed systems can present a media item navigation graphical user interface comprising the collection of media items organized by themes. The disclosed system can present the media item navigation graphical user interface without altering the original folder structure.
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2.
公开(公告)号:US20200372073A1
公开(公告)日:2020-11-26
申请号:US16417232
申请日:2019-05-20
Applicant: Adobe Inc.
Inventor: Jonas Dahl , Sudheer Tumu , Nithyanand Kota , Mihir Naware , Maneesh Dewan , Jatin Chhugani , Ganesh Satish Mallya
IPC: G06F16/906 , G06K9/46 , G06F16/16 , G06N3/02
Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for clustering media items in a semantic space to generate theme-based folders that organize media items by content theme. In particular, the disclosed systems can access media items that are stored in an original folder structure. The disclosed systems can generate content-based tags for each media item in a collection of media items. Based on the generated tags, the disclosed systems can map the collection of media items to a semantic space and cluster the collection of media items. The disclosed systems determine themes for the clusters based on the generated tags. The disclosed systems can present a media item navigation graphical user interface comprising the collection of media items organized by themes. The disclosed system can present the media item navigation graphical user interface without altering the original folder structure.
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公开(公告)号:US11593438B2
公开(公告)日:2023-02-28
申请号:US17314651
申请日:2021-05-07
Applicant: Adobe Inc.
Inventor: Jonas Dahl , Sudheer Tumu , Nithyanand Kota , Mihir Naware , Maneesh Dewan , Jatin Chhugani , Ganesh Satish Mallya
IPC: G06F16/906 , G06N3/02 , G06F16/16 , G06V10/48
Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for clustering media items in a semantic space to generate theme-based folders that organize media items by content theme. In particular, the disclosed systems can access media items that are stored in an original folder structure. The disclosed systems can generate content-based tags for each media item in a collection of media items. Based on the generated tags, the disclosed systems can map the collection of media items to a semantic space and cluster the collection of media items. The disclosed systems determine themes for the clusters based on the generated tags. The disclosed systems can present a media item navigation graphical user interface comprising the collection of media items organized by themes. The disclosed system can present the media item navigation graphical user interface without altering the original folder structure.
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公开(公告)号:US20220300557A1
公开(公告)日:2022-09-22
申请号:US17203300
申请日:2021-03-16
Applicant: ADOBE INC.
Inventor: Debraj Debashish Basu , Ganesh Satish Mallya , Shankar Venkitachalam , Deepak Pai
IPC: G06F16/906 , G06F16/9035 , G06F16/901
Abstract: Enhanced methods for improving the performance of classifiers are described. A ground-truth labeled dataset is accessed. A classifier predicts a predicted label for datapoints of the dataset. A confusion matrix for the dataset and classifier is generated. A credibility interval is determined for a performance metric for each label. A first labels with a sufficiently large credibility interval is identified. A second label is identified, where the classifier is likely to confuse, in its predictions, the first label with the second label. The identification of the second label is based on instances of incorrect label predictions of the classifier for the first and/or the second labels. The classifier is updated based on a new third label that includes an aggregation of the first label and the second label. The updated classifier model predicts the third label for any datapoint that the classifier previously predicted the first or second labels.
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公开(公告)号:US20210263970A1
公开(公告)日:2021-08-26
申请号:US17314651
申请日:2021-05-07
Applicant: Adobe Inc.
Inventor: Jonas Dahl , Sudheer Tumu , Nithyanand Kota , Mihir Naware , Maneesh Dewan , Jatin Chhugani , Ganesh Satish Mallya
IPC: G06F16/906 , G06K9/46 , G06N3/02 , G06F16/16
Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for clustering media items in a semantic space to generate theme-based folders that organize media items by content theme. In particular, the disclosed systems can access media items that are stored in an original folder structure. The disclosed systems can generate content-based tags for each media item in a collection of media items. Based on the generated tags, the disclosed systems can map the collection of media items to a semantic space and cluster the collection of media items. The disclosed systems determine themes for the clusters based on the generated tags. The disclosed systems can present a media item navigation graphical user interface comprising the collection of media items organized by themes. The disclosed system can present the media item navigation graphical user interface without altering the original folder structure.
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