Region-specific image download probability modeling

    公开(公告)号:US10599711B1

    公开(公告)日:2020-03-24

    申请号:US15978668

    申请日:2018-05-14

    摘要: Methods for prioritizing a set of images identified as responsive to an image search query from a user based on features of the images identified as relevant to a geographic region of the user are provided. In one aspect, the method includes submitting a plurality of images to a computer-operated convolutional neural network that is configured to analyze image pixel data for each of the plurality of images to identify features, in each of the plurality of images, influencing a download probability of the corresponding image in a plurality of geographic regions. The method also includes receiving, from the neural network and for each of the plurality of images, a download probability of each image for each of the plurality of geographic regions. Systems and machine-readable media are also provided.

    Image search using intersected predicted queries

    公开(公告)号:US10552478B1

    公开(公告)日:2020-02-04

    申请号:US15393016

    申请日:2016-12-28

    摘要: A method for receiving a first user query from a user for searching an item, forming a first filter based on the first user query, and forming a first filtered item collection is provided. The method includes predicting a new query based on the first user query and a historical query log, forming a second filter for the new query, and applying the second filter to the first filtered item collection to form a second filtered item collection. Further, associating an item score to each of a plurality of items in the first and second filtered item collections, sorting the plurality of items in the first and second filtered item collections according to the item score associated to each of the plurality of items, and providing, to a user display, an item in the plurality of items in the first or second filtered item collections according to a sorting order.

    Language translation based on search results and user interaction data

    公开(公告)号:US10776707B2

    公开(公告)日:2020-09-15

    申请号:US15064523

    申请日:2016-03-08

    摘要: Various aspects of the subject technology relate to systems, methods, and machine-readable media for language translation based on image search similarities. These aspects include an image retrieval system using a convolutional neural network that is trained to identify a correlation between an image and a language term, and using an image search engine to search against images corresponding to visual words that are responsive to a given search query in a given spoken language. These aspects include access to interaction probability data that identifies user interaction probabilities for the visual words to determine a correlation between the input language terms of the search query and the rate at which users interact with images of a corresponding visual word that is responsive to the search query. The system then provides a prioritized listing of images that is responsive to the given search query based on the identified user interaction probabilities.

    Identification of a salient portion of an image

    公开(公告)号:US10437878B2

    公开(公告)日:2019-10-08

    申请号:US15393206

    申请日:2016-12-28

    摘要: Various aspects of the subject technology relate to systems, methods, and machine-readable media for identification of a salient portion of an image. A system may receive user input identifying a search query for content from a client device. The system may determine a listing of images responsive to the search query from an image collection. The system may obtain one or more image crops for at least one image of the listing of images based on a saliency map of the at least one image. In one or more implementations, each of the one or more image crops indicates a salient region of a corresponding image. The system may provide a set of search results responsive to the search query to the client device. In one or more implementations, the set of search results includes the obtained one or more image crops in a prioritized listing of image crops.

    Region-specific image download probability modeling

    公开(公告)号:US09996555B1

    公开(公告)日:2018-06-12

    申请号:US15666194

    申请日:2017-08-01

    IPC分类号: G06F17/30 G06K9/66

    摘要: Methods for prioritizing a set of images identified as responsive to an image search query from a user based on features of the images identified as relevant to a geographic region of the user are provided. In one aspect, the method includes submitting a plurality of images to a computer-operated convolutional neural network that is configured to analyze image pixel data for each of the plurality of images to identify features, in each of the plurality of images, influencing a download probability of the corresponding image in a plurality of geographic regions. The method also includes receiving, from the neural network and for each of the plurality of images, a download probability of each image for each of the plurality of geographic regions. Systems and machine-readable media are also provided.

    REGION-SPECIFIC IMAGE DOWNLOAD PROBABILITY MODELING

    公开(公告)号:US20170262476A1

    公开(公告)日:2017-09-14

    申请号:US15069246

    申请日:2016-03-14

    IPC分类号: G06F17/30 G06K9/66

    摘要: Methods for prioritizing a set of images identified as responsive to an image search query from a user based on features of the images identified as relevant to a geographic region of the user are provided. In one aspect, the method includes submitting a plurality of images to a computer-operated convolutional neural network that is configured to analyze image pixel data for each of the plurality of images to identify features, in each of the plurality of images, influencing a download probability of the corresponding image in a plurality of geographic regions. The method also includes receiving, from the neural network and for each of the plurality of images, a download probability of each image for each of the plurality of geographic regions. Systems and machine-readable media are also provided.

    Image search using intersected predicted queries

    公开(公告)号:US11514103B1

    公开(公告)日:2022-11-29

    申请号:US16780105

    申请日:2020-02-03

    摘要: A method for receiving a first user query from a user for searching an item, forming a first filter based on the first user query, and forming a first filtered item collection is provided. The method includes predicting a new query based on the first user query and a historical query log, forming a second filter for the new query, and applying the second filter to the first filtered item collection to form a second filtered item collection. Further, associating an item score to each of a plurality of items in the first and second filtered item collections, sorting the plurality of items in the first and second filtered item collections according to the item score associated to each of the plurality of items, and providing, to a user display, an item in the plurality of items in the first or second filtered item collections according to a sorting order.

    User drawing based image search
    9.
    发明授权

    公开(公告)号:US11144587B2

    公开(公告)日:2021-10-12

    申请号:US15064522

    申请日:2016-03-08

    摘要: Various aspects of the subject technology relate to systems, methods, and machine-readable media for user drawing based image search. These aspects include an image retrieval system using a convolutional neural network trained to identify how users draw semantic concepts and using an image search engine to search against images having a similar concept. The aspects include mapping between concepts of the user drawing space and concepts of the image space such that images associated with the same concept are identified. For each input user drawing, the drawing is first processed through a concept classifier to identify a corresponding concept, and then through a feature extractor to form a corresponding feature vector. The results from the concept classifier and the feature extractor may be combined to search against a collection of images having a similar concept to determine a listing of images ranked by visual and semantic similarity to the input.

    Image file compression using dummy data for non-salient portions of images

    公开(公告)号:US10163227B1

    公开(公告)日:2018-12-25

    申请号:US15393152

    申请日:2016-12-28

    IPC分类号: G06T9/00 G06T7/194 G06K9/46

    摘要: A computer-implemented method is provided for retrieving an image from a user in a desired format and for detecting a compression efficiency for the image. When the compression efficiency is above a pre-selected threshold the computer-implemented method includes obtaining a saliency representation of the image, capturing a feature description of a non-salient portion of the image, flattening the non-salient portion in a new image, storing the new image in a selected format in a memory and storing a background descriptor for the image in the memory.