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    OBJECT DETECTION FROM IMAGE CONTENT
    2.
    发明申请
    OBJECT DETECTION FROM IMAGE CONTENT 审中-公开

    公开(公告)号：US20190258895A1

    公开(公告)日：2019-08-22

    申请号：US15900606

    申请日：2018-02-20

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Arun Sacheti ,  Xi Chen ,  Houdong Hu ,  Li Huang ,  Jiapei Huang ,  Meenaz Merchant

    IPC: G06K9/62 ,  G06F17/30

    Abstract: Non-limiting examples of the present disclosure relate to object detection processing of image content that categorically classifies specific objects within image content. Exemplary object detection processing may be utilized to enhance visual search processing including content retrieval and curation, among other technical advantages. An exemplary object detection model is implemented to categorically classify an object. In doing, so an exemplary object detection model may classify objects based on: analysis of specific objects within image content, positioning of the objects within the image content and intent associated with the image content, among other examples. The object detection model generates exemplary categorical classification(s) for specific data objects, which may be propagated to enhance processing efficiency and accuracy during visual search processing. Exemplary categorical classifications may comprise hierarchical classifications of a detected object that can be used to retrieve, curate and surface content that is most contextually relevant to a detected object.

    TASK-ORIENTED PRESENTATION OF AUXILIARY CONTENT TO INCREASE USER INTERACTION PERFORMANCE
    3.
    发明申请
    TASK-ORIENTED PRESENTATION OF AUXILIARY CONTENT TO INCREASE USER INTERACTION PERFORMANCE 有权
    辅助性内容的任务介绍，以增加用户交互性能

    公开(公告)号：US20160179969A1

    公开(公告)日：2016-06-23

    申请号：US14580214

    申请日：2014-12-22

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： W. Earl Greathouse ,  Meenaz Merchant ,  Shannon Westphal ,  Patrick Haluptzok

    IPC: G06F17/30

    CPC classification number: G06F17/30867 ,  G06F17/30247 ,  G06F17/30256 ,  G06F17/30277 ,  G06F17/3053 ,  G06F17/30843 ,  G06F17/30864 ,  G06Q30/0251

    Abstract: Auxiliary content provided in addition to search results is selected and presented to aid the user in completing tasks and increasing user interaction performance. Auxiliary content is processed utilizing existing search engine categorization and identification mechanisms, thereby facilitating the determination of similarities between the auxiliary content and indexed content that is identified as being responsive to a search query. At least some of the search results identified as being responsive to the search query are compared to auxiliary content to identify similarities, including visual similarities. Similar auxiliary content are selected to aid the user in completing tasks, and such selected auxiliary content is provided with the search results, including in a visually distinct or separated manner.

    Abstract translation: 选择和呈现除搜索结果之外提供的辅助内容以帮助用户完成任务并增加用户交互性能。 利用现有的搜索引擎分类和识别机制来处理辅助内容，从而有助于确定辅助内容与被识别为响应于搜索查询的索引内容之间的相似性。 将识别为响应于搜索查询的搜索结果中的至少一些与辅助内容进行比较以识别相似性，包括视觉相似性。 选择类似的辅助内容以帮助用户完成任务，并且向这些所选择的辅助内容提供搜索结果，包括以视觉上不同或分开的方式。

    VISUAL INTENT TRIGGERING FOR VISUAL SEARCH
    8.
    发明申请
    VISUAL INTENT TRIGGERING FOR VISUAL SEARCH 审中-公开

    公开(公告)号：US20200019628A1

    公开(公告)日：2020-01-16

    申请号：US16036224

    申请日：2018-07-16

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Xi Chen ,  Houdong Hu ,  Li Huang ,  Jiapei Huang ,  Arun Sacheti ,  Linjun Yang ,  Rui Xia ,  Kuang-Huei Lee ,  Meenaz Merchant ,  Sean Chang Culatana

    IPC: G06F17/30 ,  G06K9/62 ,  G06N5/04 ,  G06N99/00 ,  G06F17/11

    Abstract: Representative embodiments disclose mechanisms to perform visual intent classification or visual intent detection or both on an image. Visual intent classification utilizes a trained machine learning model that classifies subjects in the image according to a classification taxonomy. The visual intent classification can be used as a pre-triggering mechanism to initiate further action in order to substantially save processing time. Example further actions include user scenarios, query formulation, user experience enhancement, and so forth. Visual intent detection utilizes a trained machine learning model to identify subjects in an image, place a bounding box around the image, and classify the subject according to the taxonomy. The trained machine learning model utilizes multiple feature detectors, multi-layer predictions, multilabel classifiers, and bounding box regression.

    METHOD AND APPARATUS FOR GENERATING VISUAL SEARCH QUERIES AUGMENTED BY SPEECH INTENT
    9.
    发明申请
    METHOD AND APPARATUS FOR GENERATING VISUAL SEARCH QUERIES AUGMENTED BY SPEECH INTENT 审中-公开

    公开(公告)号：US20190311070A1

    公开(公告)日：2019-10-10

    申请号：US15947564

    申请日：2018-04-06

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Li Huang ,  Houdong Hu ,  Meenaz Merchant

    IPC: G06F17/30 ,  G06K9/32 ,  G10L15/26 ,  G06N5/02

    Abstract: A method for using a speech signal to augment a visual search includes processing the image data to determine an image search intent. Concurrently with processing the image data, the method processes the speech signal to determine at least one speech search intent. The method generates a search query by combining keywords and/or the image from the image search intent with keywords from the speech search intent. The method then performs a search based on the generated query and reports the results of the search. The method generates the image search intent by applying the image data to a knowledge base and generates the speech search intent by converting the speech to text and applying the text to a cognition service.

    System and method for attribute-based visual search over a computer communication network
    10.
    发明授权
    System and method for attribute-based visual search over a computer communication network 有权

    公开(公告)号：US12216705B2

    公开(公告)日：2025-02-04

    申请号：US17404367

    申请日：2021-08-17

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Li Huang ,  Meenaz Merchant ,  Houdong Hu ,  Arun Sacheti

    IPC: G06F16/583 ,  G06F16/2457 ,  G06F16/248 ,  G06F16/51 ,  G06F16/532 ,  G06F16/56 ,  G06F18/22 ,  G06N3/04 ,  G06N3/08

    Abstract: A visual search system includes a computing device, where the computing device includes an image processing engine for generating a feature vector representing a user-selected object in an image. The computing device also includes, an object detection engine for locating one or more objects in the image and for determining a category of a user-selected object from objects in the image, where the object detection engine uses the category to generate a plurality of attributes for the user-selected object. The computing device further includes a product data store for storing a plurality of tables storing one or more attributes associated with a category of the user-selected object. The computing device additionally includes an attribute generation engine for generating a plurality of attribute options and an attribute matching engine for comparing attributes and attribute options of the user-selected object with attributes and attribute options of visually similar products and images.

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