METHOD FOR STREAMING-BASED DISTRIBUTED MEDIA DATA PROCESSING

    公开(公告)号:US20170295214A1

    公开(公告)日:2017-10-12

    申请号:US15096911

    申请日:2016-04-12

    Applicant: Baidu USA LLC

    CPC classification number: H04L65/601 H04L65/4084 H04L65/605 H04L65/607

    Abstract: In one embodiment, a cluster manager partitions media data into multiple media data partitions, each of which is to be processed by a computing node of a computing system. A platform module in a computing node receives a number of media files included in a media data partition. The platform module encodes each media file from an original format into a predefined format. The platform module then combines or serializes each encoded media file into a single stream of serialized data, and transmits it to a user module in the computing node. The user module separates from each other the received encoded media files. The user module then decodes each separated, encoded media file from the predefined format into the original format, and performs a specific media processing operation on each decoded file. Examples of the media processing operation include classification, image transformation, and feature extraction.

    System and method for providing inter-vehicle communications amongst autonomous vehicles

    公开(公告)号:US10672200B2

    公开(公告)日:2020-06-02

    申请号:US15951174

    申请日:2018-04-12

    Applicant: Baidu USA LLC

    Abstract: A cloud server maintains a neighboring vehicle data structure storing vehicle information of vehicles coupled to the cloud server over a network. The server receives a first request from a first of the vehicles, including a first vehicle identifier (ID) and current vehicle metadata of the first vehicle. In response to the first request, the server traverses the neighboring vehicle data structure to update a first node corresponding to the first vehicle based on the first vehicle ID and the current vehicle information of the first vehicle. The server transmits to the first vehicle over the network a list of one or more vehicle IDs identifying one or more vehicles that are within a predetermined geographic proximity of the first autonomous vehicles to allow the first vehicle to directly communicate with any vehicle in the list via a wireless local area network.

    Unified storage system for online image searching and offline image analytics

    公开(公告)号:US10558702B2

    公开(公告)日:2020-02-11

    申请号:US15092503

    申请日:2016-04-06

    Applicant: Baidu USA LLC

    Abstract: According to one embodiment, a master storage node receives a search query for searching images from a client, where the master storage node is coupled to a number of worker storage nodes over a storage network. The master storage node performs a hash operation on one or more keywords of the search query using a first predetermined hash function, generating a first hash value. A first of the worker storage nodes is identified based on the first hash value. The master storage node redirects the search query to the first worker storage node to allow the first worker storage node service the search query. The first worker storage node is to identify one or more images from a first system memory of the first worker storage node based on the search query and to transmit the one or more images to the client.

    Method for streaming-based distributed media data processing

    公开(公告)号:US10362082B2

    公开(公告)日:2019-07-23

    申请号:US15096911

    申请日:2016-04-12

    Applicant: Baidu USA LLC

    Abstract: In one embodiment, a cluster manager partitions media data into multiple media data partitions, each of which is to be processed by a computing node of a computing system. A platform module in a computing node receives a number of media files included in a media data partition. The platform module encodes each media file from an original format into a predefined format. The platform module then combines or serializes each encoded media file into a single stream of serialized data, and transmits it to a user module in the computing node. The user module separates from each other the received encoded media files. The user module then decodes each separated, encoded media file from the predefined format into the original format, and performs a specific media processing operation on each decoded file. Examples of the media processing operation include classification, image transformation, and feature extraction.

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