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公开(公告)号：US20220245391A1
公开(公告)日：2022-08-04
申请号：US17160893
申请日：2021-01-28
Applicant: Adobe Inc.
Inventor： Pinkesh Badjatiya , Surgan Jandial , Pranit Chawla , Mausoom Sarkar , Ayush Chopra
IPC: G06K9/62 , G06N3/04 , G06F16/532 , G06F16/538 , G06F16/583
Abstract: Techniques are disclosed for text-conditioned image searching. A methodology implementing the techniques includes decomposing a source image into visual feature vectors associated with different levels of granularity. The method also includes decomposing a text query (defining a target image attribute) into feature vectors associated with different levels of granularity including a global text feature vector. The method further includes generating image-text embeddings based on the visual feature vectors and the text feature vectors to encode information from visual and textual features. The method further includes composing a visio-linguistic representation based on a hierarchical aggregation of the image-text embeddings to encode visual and textual information at multiple levels of granularity. The method further includes identifying a target image that includes the visio-linguistic representation and the global text feature vector, so that the target image relates to the target image attribute, and providing the target image as an image search result.
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公开(公告)号：US20210397986A1
公开(公告)日：2021-12-23
申请号：US16904263
申请日：2020-06-17
Applicant: Adobe Inc.
Inventor： Milan Aggarwal , Mausoom Sarkar , Balaji Krishnamurthy
Abstract: Techniques described herein extract form structures from a static form to facilitate making that static form reflowable. A method described herein includes accessing low-level form elements extracted from a static form. The method includes determining, using a first set of prediction models, second-level form elements based on the low-level form elements. Each second-level form element includes a respective one or more low-level form elements. The method further includes determining, using a second set of prediction models, high-level form elements based on the second-level form elements and the low-level form elements. Each high-level form element includes a respective one or more second-level form elements or low-level form elements. The method further includes generating a reflowable form based on the static form by, for each high-level form element, linking together the respective one or more second-level form elements or low-level form elements.
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公开(公告)号：US10268883B2
公开(公告)日：2019-04-23
申请号：US15674100
申请日：2017-08-10
Applicant: Adobe Inc.
Inventor： Mausoom Sarkar , Balaji Krishnamurthy
Abstract: A method and system for detecting and extracting accurate and precise structure in documents. A high-resolution image of documents is segmented into a set of tiles. Each tile is processed by a convolutional network and subsequently by a set of recurrent networks for each row and column. A global-lookup process is disclosed that allows “future” information required for accurate assessment by the recurrent neural networks to be considered. Utilization of high-resolution image allows for precise and accurate feature extraction while segmentation into tiles facilitates the tractable processing of the high-resolution image within reasonable computational resource bounds.
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