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1.发明申请公开(公告)号：US20200273090A1
公开(公告)日：2020-08-27
申请号：US16281806
申请日：2019-02-21
Applicant: Adobe Inc.
Inventor： Kumar Ayush , Harnish Lakhani , Atishay Jain
Abstract: The technology described herein is directed to object compatibility-based identification and replacement of objects in digital representations of real-world environments for contextualized content delivery. In some implementations, an object compatibility and retargeting service that selects and analyzes a viewpoint (received from a user's client device) to identify objects that are the least compatible with other surrounding real-world objects in terms of style compatibility with the surrounding real-world objects and color compatibility with the background is described. The object compatibility and retargeting service also generates recommendations for replacing the least compatible object with objects/products having more style/design compatibility with the surrounding real-world objects and color compatibility with the background. Furthermore, the object compatibility and retargeting service can create personalized catalogues with the recommended objects/products embedded in the viewpoint in place of the least compatible object with similar pose and scale for retargeting the user.
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公开(公告)号：US11238093B2
公开(公告)日：2022-02-01
申请号：US16601773
申请日：2019-10-15
Applicant: ADOBE INC.
Inventor： Kumar Ayush , Harnish Lakhani , Atishay Jain
IPC: G06F16/732 , G06N3/08 , H04N19/59 , G06F16/74
Abstract: Systems and methods for content-based video retrieval are described. The systems and methods may break a video into multiple frames, generate a feature vector from the frames based on the temporal relationship between them, and then embed the feature vector into a vector space along with a vector representing a search query. In some embodiments, the video feature vector is converted into a text caption prior to the embedding. In other embodiments, the video feature vector and a sentence vector are each embedded into a common space using a join video sentence embedding model. Once the video and the search query are embedded into a common vector space, a distance between them may be calculated. After calculating the distance between the search query and set of videos, the distances may be used to select a subset of the videos to present as the result of the search.
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公开(公告)号：US10984467B2
公开(公告)日：2021-04-20
申请号：US16281806
申请日：2019-02-21
Applicant: Adobe Inc.
Inventor： Kumar Ayush , Harnish Lakhani , Atishay Jain
Abstract: The technology described herein is directed to object compatibility-based identification and replacement of objects in digital representations of real-world environments for contextualized content delivery. In some implementations, an object compatibility and retargeting service that selects and analyzes a viewpoint (received from a user's client device) to identify objects that are the least compatible with other surrounding real-world objects in terms of style compatibility with the surrounding real-world objects and color compatibility with the background is described. The object compatibility and retargeting service also generates recommendations for replacing the least compatible object with objects/products having more style/design compatibility with the surrounding real-world objects and color compatibility with the background. Furthermore, the object compatibility and retargeting service can create personalized catalogues with the recommended objects/products embedded in the viewpoint in place of the least compatible object with similar pose and scale for retargeting the user.
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