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公开(公告)号:US20210295423A1
公开(公告)日:2021-09-23
申请号:US16824180
申请日:2020-03-19
Applicant: Adobe Inc.
Inventor: Sourabh Gupta , Mrinal Kumar Sharma , Gourav Singhal
Abstract: Methods, systems, and non-transitory computer readable media are disclosed for determining a sub-set of user-submitted images that are similar to a curated image and presenting the sub-set of user-submitted images in connection with the curated image. The disclosed system presents a curated image depicting a product via a graphical user interface (e.g., on an e-commerce platform). In one or more embodiments, the disclosed system extracts feature vectors from the curated image and a plurality of user-submitted images. The disclosed system compares the feature vectors from the curated image and the plurality of user-submitted images to determine a sub-set of user-submitted images that are similar to the curated image. The disclosed system presents the sub-set of user-submitted images based on a user selection of the curated image.
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公开(公告)号:US20210134023A1
公开(公告)日:2021-05-06
申请号:US16670420
申请日:2019-10-31
Applicant: Adobe Inc.
Inventor: Mrinal Kumar Sharma , Shailendra Singh Rathore , Gourav Singhal
IPC: G06T11/00 , G06T11/60 , G06T3/40 , G06F3/0484 , G06F3/0482
Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that generate customized color editing options tailored to a digital image. In particular, in one or more embodiments, the disclosed systems generate an interactive editing user interface that includes selectable color controls corresponding to dominant colors extracted from the digital image and ordered by dominance. In at least one embodiment, the disclosed systems utilizes clustering techniques associated with the dominant representative colors to generate contour paths in the digital image further enabling dynamic interactive image editing.
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公开(公告)号:US20210019369A1
公开(公告)日:2021-01-21
申请号:US16514504
申请日:2019-07-17
Applicant: Adobe Inc.
Inventor: Mrinal Kumar Sharma , Gourav Singhal
Abstract: Generation of context-aware subtitles for a video is described. A subtitle context system receives video subtitles, extracts words from the subtitles, and determines a part of speech describing each word's use in the video. The subtitle context system then determines a difficulty score for each of the words based on the length of the word, a frequency with which the word is used in the language of the video, and a language proficiency score for a user viewing the video. To identify which words of the subtitles are likely difficult for the viewing user to understand, the subtitle context system compares the computed difficulty scores to a difficulty score threshold. For each word having a difficulty score that satisfies the threshold, a definition and one or more synonyms are ascertained. During video playback, the definition and synonyms for difficult to understand words are displayed concurrently with the word.
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