# US 2021/0241019 A1 · Machine learning photographic metadata > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2021/0241019 A1 - Document ID: US20210241019A1 - Status: Published application - Kind: A1 - Application number: 16/778,479 - Filed: 2020-01-31 - Published: 2021-08-05 - Earliest claimed: 2020-01-31 - Assignees: salesforce.com, inc. - Applicants: salesforce.com, inc. - Inventors: Luke MacNeil; Paulson McIntyre - Web page: https://patentgrep.com/patent/US20210241019A1 ## CPC - G06F 16/5866: {using information manually generated, e.g. tags, keywords, comments, manually generated location and time information} - G06F 16/583: using metadata automatically derived from the content - G06N 5/025: Extracting rules from data - G06N 20/00: Machine learning - G06V 10/764: using classification, e.g. of video objects - G06V 20/10: Terrestrial scenes (scenes under surveillance with static cameras G06V20/52; scenes perceived from the exterior of a vehicle G06V20/56; scenes perceived from the interior of a vehicle G06V20/59) - G06V 20/70: Labelling scene content, e.g. deriving syntactic or semantic representations - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING ## Abstract A method and system for automated generation of photographic metadata in response to a machine learning algorithm including an input for receiving an image, a processor configured to perform an image recognition algorithm to generate a first metadata, to predict a second set of metadata in response to the first set of metadata and a set of rules generated in response to a machine learning training process wherein the set of rules are generated in response to a plurality of images having user generated metadata, and an output for transmitting the second set of metadata and the image to a storage medium. ## Claims ### Claim 1 An apparatus comprising: an input for receiving an image; a processor configured to perform an image recognition algorithm to generate a first metadata, to predict a second set of metadata in response to the first set of metadata and a set of rules generated in response to a machine learning training process wherein the set of rules are generated in response to a plurality of images having user generated metadata; and an output for transmitting the second set of metadata and the image to a storage medium. ### Claim 2 (depends on 1) The apparatus of claim 1 wherein the machine learning training process is performed using a plurality of user stored images and associated user generated metadata. ### Claim 3 (depends on 1) The apparatus of claim 1 wherein the first metadata is generated in response to a characteristic of the set of rules. ### Claim 4 (depends on 1) The apparatus of claim 1 wherein the apparatus is a photographic image server. ### Claim 5 (depends on 1) The apparatus of claim 1 wherein the input is a universal serial bus port. ### Claim 6 (depends on 1) The apparatus of claim 1 wherein the input is an electronic storage medium. ### Claim 7 (depends on 1) The apparatus of claim 1 wherein the image recognition algorithm is performed in response to a request from a photographic image management application. ### Claim 8 (depends on 1) The apparatus of claim 1 wherein the user generated metadata is indicative of a category of metadata and wherein the first metadata is generated in response to the category of metadata. ### Claim 9 A method comprising: receiving an image; performing an image recognition algorithm in response to the image to generate a first metadata; performing a comparison of the first metadata to a set of rules to generate a second metadata, the set of rules being generated in response to a plurality of images, each of the plurality of images having one of a plurality of user generated metadata; and generating an image file in response to the image and the second metadata. ### Claim 10 (depends on 9) The method of claim 9 wherein the set of rules are generated in response to a machine learning training process performed using a plurality of user stored images and associated user generated metadata. ### Claim 11 (depends on 9) The method of claim 9 wherein the first metadata is generated in response to a category of image defined by the set of rules. ### Claim 12 (depends on 9) The method of claim 9 wherein the input is an photographic image server configured to perform a photographic image management application. ### Claim 13 (depends on 9) The method of claim 9 wherein the input is a universal serial bus port. ### Claim 14 (depends on 9) The method of claim 9 wherein the input is an electronic storage memory card. ### Claim 15 (depends on 9) The method of claim 9 wherein the image recognition algorithm is performed in response to a control signal generated by an image management application. ### Claim 16 (depends on 9) The method of claim 9 further comprising transmitting the image file to a device configured to perform an image management application. ### Claim 17 (depends on 9) The method of claim 9 where the user generated metadata is indicative of a category of metadata and wherein the first metadata is generated in response to the category of metadata ### Claim 18 A system for image management comprising: a first storage medium configured to store a first image having a first set of metadata; an image recognition processor operative to generate a second set of metadata in response to an image recognition algorithm and the first image; a digital signal processor configured to generate a third set of metadata in response to the second set of metadata and an artificial intelligence rule set generated in response to a previous image and a previous user generated metadata; a data processor operative to generate an image file in response to the first image, the first set of metadata, and the third set of metadata; and a second storage medium operative to store the image file for access by an image management application. ### Claim 19 (depends on 18) The method of claim 18 wherein the artificial intelligence rule set is generated in response to a plurality of images and a plurality of user generated metadata associated with each of the plurality of images. ### Claim 20 (depends on 18) The method of claim 18 wherein the first set of metadata is generated by a camera.