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191 results about "Metadata record" patented technology

Method for protecting and recovering continuous data based on time stick diary memory

The invention relates to a method for the protection and recovery of continuous data stored in a time-stamp diary, which pertains to a computer data storage and backup method and aims at reducing the time of processing a write operation and a recovery operation and increasing processing parallelism. The method comprises the steps that: (1) a storage area is divided into a source data area and a continuous data protection area; a Hush mapping table is initialized; (2) a user command is judged, and the write operation is carried out sequentially; the recovery operation is carried out as the step (4); (3) the write operation is processed; by adopting a production line strategy, a copy operation and a new write operation are carried out in parallel; a source data record is inserted into the Hush mapping table; the step (2) is carried out; (4) the recovery operation is processed, and the source subdata block record needing copying is searched in the Hush mapping table; corresponding source subdata block record is written into the source data area by adopting the production line strategy; then the step (2) is carried out. The proposal of time-stamp diary storage is adopted in the invention; the production line strategy is adopted when the write operation and the recovery operation are processed; therefore, write operation processing time and target recovery time are shorter.
Owner:HUAZHONG UNIV OF SCI & TECH

Processing method and search method for multiple-source and multi-temporal satellite image tile data

The invention discloses a processing method for multiple-source and multi-temporal satellite image tile data. According to the processing method, a mass tile data organization structure with the time-space characteristic and the multi-source heterogeneous characteristic can be constructed, and metadata of multi-source heterogeneous satellite data tiles can be processed. The processing method comprises the steps of: (1) inputting a plurality of pieces of satellite image data, wherein each satellite image data comprises pixel data and metadata; (2) receiving a data warehousing request; (3) storing each metadata based on an image metadata table of BeyonDB, wherein each row of record description of the image metadata table comes from the metadata of the tile data of the same satellite image, and a plurality of pieces of tile data correspond to the same satellite metadata record; and (4) processing the pixel data by adopting a transverse blocking and longitudinal layering tile structure, and storing the mass tile data after processing the mass tile data by adopting a multiple-source and multi-temporal pyramid tile data file tree structure. The invention also provides a processing system, as well as a search method and a search system based on the processing system.
Owner:北京博阳世通信息技术有限公司 +1

Mobile device platform for automated visual retail product recognition

ActiveUS20210117948A1Improved accuracy and reliability and transparencyCharacter and pattern recognitionCash registersEngineeringVisual perception
Disclosed is a mobile electronic device platform for automated visual product recognition. As part of the platform, a mobile electronic device comprising a processing element and computer-readable media performs automated product-recognition processes based on input image frames received from a photographic element. The non-transitory computer-readable media may include computer-readable instructions stored thereon, the instructions instructing the processing element of the mobile electronic device to complete the following data processing steps without sending or receiving the processed data over an active data connection to any other computing device: (1) pass an input image frame of the input image frames depicting a product through a convolutional neural network stored on the computer-readable media; (2) generate a product classification for the product based at least in part on passage of the image frame through the convolutional neural network; and (3) record product metadata corresponding to the product to a record of the automated product-recognition process. The convolutional neural network may be trained through adjustment of model parameters according to the output of multiple classification arms sharing upstream convolutional features and utilize network compression and / or quantization techniques described herein, resulting in significant performance gains.
Owner:MASTERCARD ASIA PACIFIC
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